Measuring the State of Open Science in Transportation Using Large Language Models | Paper Citation Record

Observation 8318e17b-ef7f-4280-abf5-665325e4650f · outbound

This paper cites Reproducible research in computational science,.

Measuring the State of Open Science in Transportation Using Large Language Models Reproducible research in computational science,

Reference 1

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Observation f6eef77a-5594-4a5e-9927-f8825e4e0aa0 · outbound

This paper cites Estimating the reproducibility of psychological science,.

Measuring the State of Open Science in Transportation Using Large Language Models Estimating the reproducibility of psychological science,

Reference 2

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Observation adccff2d-67f4-4de2-9be8-60a4a4a9e200 · outbound

This paper cites The reproducible research movement in statistics,.

Measuring the State of Open Science in Transportation Using Large Language Models The reproducible research movement in statistics,

Reference 3

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Observation 56af4a9a-cdbe-4109-b662-005d3e2ed6f4 · outbound

This paper cites Guide for authors - Transportation Research Part C: Emerging technologies.

Measuring the State of Open Science in Transportation Using Large Language Models Guide for authors - Transportation Research Part C: Emerging technologies

Reference 4

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This paper cites Aims & scope - Transportation Research Part C: Emerging technologies.

Measuring the State of Open Science in Transportation Using Large Language Models Aims & scope - Transportation Research Part C: Emerging technologies

Reference 5

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Observation 3f9f580e-309d-4ad1-adb5-926398dac3c1 · outbound

This paper cites Open science is a research accelerator,.

Measuring the State of Open Science in Transportation Using Large Language Models Open science is a research accelerator,

Reference 6

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Observation 13a0ba46-2b73-497f-bae5-12daaa8faf10 · outbound

This paper cites Understanding open science.

Measuring the State of Open Science in Transportation Using Large Language Models Understanding open science

Reference 7

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Observation 2eff7713-e266-478c-afb5-e47444ab9bfe · outbound

This paper cites Equity, transparency, and accountability: open science for the 21st century,.

Measuring the State of Open Science in Transportation Using Large Language Models Equity, transparency, and accountability: open science for the 21st century,

Reference 8

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Observation 8af78a5e-7847-4ad0-9414-98aae8f6b401 · outbound

This paper cites Why nasa and federal agencies are declaring this the year of open science,.

Measuring the State of Open Science in Transportation Using Large Language Models Why nasa and federal agencies are declaring this the year of open science,

Reference 9

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Observation 3cadf8ed-a1cb-40f7-a162-5e4c9e2e3c16 · outbound

This paper cites The principles of open science monitoring,.

Measuring the State of Open Science in Transportation Using Large Language Models The principles of open science monitoring,

Reference 10

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Observation 4ada1482-87f5-4f76-ba22-de0bd9dddbcc · outbound

This paper cites an unresolved cited work.

Measuring the State of Open Science in Transportation Using Large Language Models Unresolved cited work

Reference 11

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Observation cbda6de6-60c6-4afd-afc4-1cf3696de378 · outbound

This paper cites Seven easy steps to open science,.

Measuring the State of Open Science in Transportation Using Large Language Models Seven easy steps to open science,

Reference 12

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Observation 6659c716-6e99-447e-b029-342051ba48ef · outbound

This paper cites The unreasonable effectiveness of open science in ai: A replication study,.

Measuring the State of Open Science in Transportation Using Large Language Models The unreasonable effectiveness of open science in ai: A replication study,

Reference 13

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Observation 0ddc7b7f-422c-4b07-a2a7-b85289604d52 · outbound

This paper cites Assess- ing data availability and research reproducibility in hydrology and water resources,.

Measuring the State of Open Science in Transportation Using Large Language Models Assess- ing data availability and research reproducibility in hydrology and water resources,

Reference 14

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Observation 441be8b8-ecfa-45de-aa68-86cce3d9986e · outbound

This paper cites Estimating the deep replicability of scientific findings using human and artificial intelligence,.

Measuring the State of Open Science in Transportation Using Large Language Models Estimating the deep replicability of scientific findings using human and artificial intelligence,

Reference 15

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This paper cites A discipline-wide investigation of the replicability of psychology papers over the past two decades,.

Measuring the State of Open Science in Transportation Using Large Language Models A discipline-wide investigation of the replicability of psychology papers over the past two decades,

Reference 16

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Observation a39ed67b-ec08-47b7-b991-b6e3de4f2342 · outbound

This paper cites Improving reproducibility in machine learning research (a report from the neurips 2019 reproducibility program),.

Measuring the State of Open Science in Transportation Using Large Language Models Improving reproducibility in machine learning research (a report from the neurips 2019 reproducibility program),

Reference 17

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This paper cites A computational reproducibility study of plos one articles featuring longitudinal data analyses,.

Measuring the State of Open Science in Transportation Using Large Language Models A computational reproducibility study of plos one articles featuring longitudinal data analyses,

Reference 18

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Observation d2363788-acb0-468f-a59f-4fa84b967f53 · outbound

This paper cites ”get in researchers; we’re measuring reproducibility.

Measuring the State of Open Science in Transportation Using Large Language Models ”get in researchers; we’re measuring reproducibility

Reference 19

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Observation 7aa7d500-a7a5-4c16-8f57-d0295b0ccedb · outbound

This paper cites Revisiting reproducibility in transportation simulation studies,.

Measuring the State of Open Science in Transportation Using Large Language Models Revisiting reproducibility in transportation simulation studies,

Reference 20

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Observation f8baf665-8f00-4296-bd1e-78ca9ad1027b · outbound

This paper cites Next generation simula- tion (ngsim) vehicle trajectories and supporting data. [dataset]. provided by its datahub through data.transportation.gov,.

Measuring the State of Open Science in Transportation Using Large Language Models Next generation simula- tion (ngsim) vehicle trajectories and supporting data. [dataset]. provided by its datahub through data.transportation.gov,

Reference 21

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Observation 7ee8693d-b8bd-4fcb-bb73-bc22fe130f13 · outbound

This paper cites Open science now: A systematic literature review for an integrated definition,.

Measuring the State of Open Science in Transportation Using Large Language Models Open science now: A systematic literature review for an integrated definition,

Reference 22

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This paper cites Research data guidelines,.

Measuring the State of Open Science in Transportation Using Large Language Models Research data guidelines,

Reference 23

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Observation 4ad41b2e-efc7-40cd-80c1-75f832c94246 · outbound

This paper cites Reasons, challenges, and some tools for doing reproducible transportation research,.

Measuring the State of Open Science in Transportation Using Large Language Models Reasons, challenges, and some tools for doing reproducible transportation research,

Reference 24

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Observation da552dfd-6ca7-4d32-b3ff-8fa43ff18fdd · outbound

This paper cites Journals Data XML.

Measuring the State of Open Science in Transportation Using Large Language Models Journals Data XML

Reference 25

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This paper cites Latent Dirichlet allocation,.

Measuring the State of Open Science in Transportation Using Large Language Models Latent Dirichlet allocation,

Reference 26

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This paper cites Discovering themes and trends in transportation research using topic modeling,.

Measuring the State of Open Science in Transportation Using Large Language Models Discovering themes and trends in transportation research using topic modeling,

Reference 27

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Observation 3982cb11-8ab9-4fd9-b3c7-d9d7ab7f2c4c · outbound

This paper cites Identifying regional characteristics of transportation research with transport research international documentation (trid) data,.

Measuring the State of Open Science in Transportation Using Large Language Models Identifying regional characteristics of transportation research with transport research international documentation (trid) data,

Reference 28

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This paper cites Visualizing data using t-sne,.

Measuring the State of Open Science in Transportation Using Large Language Models Visualizing data using t-sne,

Reference 29

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This paper cites Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities,.

Measuring the State of Open Science in Transportation Using Large Language Models Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities,

Reference 30

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This paper cites Sci- assess: Benchmarking llm proficiency in scientific literature analysis,.

Measuring the State of Open Science in Transportation Using Large Language Models Sci- assess: Benchmarking llm proficiency in scientific literature analysis,

Reference 31

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This paper cites Multi-task inference: Can large language models follow multiple instructions at once?,.

Measuring the State of Open Science in Transportation Using Large Language Models Multi-task inference: Can large language models follow multiple instructions at once?,

Reference 32

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This paper cites Comparative analysis of prompt strategies for large language models: Single-task vs. multitask prompts,.

Measuring the State of Open Science in Transportation Using Large Language Models Comparative analysis of prompt strategies for large language models: Single-task vs. multitask prompts,

Reference 33

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This paper cites Interrater reliability: the kappa statistic,.

Measuring the State of Open Science in Transportation Using Large Language Models Interrater reliability: the kappa statistic,

Reference 34

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This paper cites Measuring nominal scale agreement among many raters,.

Measuring the State of Open Science in Transportation Using Large Language Models Measuring nominal scale agreement among many raters,

Reference 35

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This paper cites The measurement of observer agreement for categorical data,.

Measuring the State of Open Science in Transportation Using Large Language Models The measurement of observer agreement for categorical data,

Reference 36

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This paper cites A coefficient of agreement for nominal scales,.

Measuring the State of Open Science in Transportation Using Large Language Models A coefficient of agreement for nominal scales,

Reference 37

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This paper cites A short introduction to biogeme,.

Measuring the State of Open Science in Transportation Using Large Language Models A short introduction to biogeme,

Reference 38

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This paper cites Engaging new partners in transportation research: Integrating the publishing, archiving, and indexing of technical literature into the research process,.

Measuring the State of Open Science in Transportation Using Large Language Models Engaging new partners in transportation research: Integrating the publishing, archiving, and indexing of technical literature into the research process,

Reference 39

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This paper cites Evolution of data creation, management, publication, and curation in the research process,.

Measuring the State of Open Science in Transportation Using Large Language Models Evolution of data creation, management, publication, and curation in the research process,

Reference 40

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This paper cites Using the future wheel methodology to assess the impact of open science in the transport sector,.

Measuring the State of Open Science in Transportation Using Large Language Models Using the future wheel methodology to assess the impact of open science in the transport sector,

Reference 41

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This paper cites Data sharing of transport research data,.

Measuring the State of Open Science in Transportation Using Large Language Models Data sharing of transport research data,

Reference 42

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This paper cites Udrive: the european naturalistic driving study,.

Measuring the State of Open Science in Transportation Using Large Language Models Udrive: the european naturalistic driving study,

Reference 43

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This paper cites Design of open source framework for traffic and travel simulation,.

Measuring the State of Open Science in Transportation Using Large Language Models Design of open source framework for traffic and travel simulation,

Reference 44

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This paper cites Open traffic: a toolbox for traffic research,.

Measuring the State of Open Science in Transportation Using Large Language Models Open traffic: a toolbox for traffic research,

Reference 45

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This paper cites About calibration of car-following dynamics of automated and human-driven vehicles: Methodology, guidelines and codes,.

Measuring the State of Open Science in Transportation Using Large Language Models About calibration of car-following dynamics of automated and human-driven vehicles: Methodology, guidelines and codes,

Reference 46

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This paper cites Enabling reproducible research in sensor-based transportation mode recognition with the sussex-huawei dataset,.

Measuring the State of Open Science in Transportation Using Large Language Models Enabling reproducible research in sensor-based transportation mode recognition with the sussex-huawei dataset,

Reference 47

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This paper cites Comparing hundreds of machine learning and dis- crete choice models for travel demand modeling: An empirical benchmark,.

Measuring the State of Open Science in Transportation Using Large Language Models Comparing hundreds of machine learning and dis- crete choice models for travel demand modeling: An empirical benchmark,

Reference 48

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This paper cites Sharing, collaborating, and bench- marking to advance travel demand research: A demonstration of short-term ridership prediction,.

Measuring the State of Open Science in Transportation Using Large Language Models Sharing, collaborating, and bench- marking to advance travel demand research: A demonstration of short-term ridership prediction,

Reference 49

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This paper cites Reproducibility in transportation research: A hands-on tutorial,.

Measuring the State of Open Science in Transportation Using Large Language Models Reproducibility in transportation research: A hands-on tutorial,

Reference 50

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Measuring the State of Open Science in Transportation Using Large Language Models Freeway performance measurement system: operational analysis tool,

Reference 51

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This paper cites Transportation networks for research.

Measuring the State of Open Science in Transportation Using Large Language Models Transportation networks for research

Reference 52

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This paper cites The acceptance of modal innovation: The case of swiss- metro,.

Measuring the State of Open Science in Transportation Using Large Language Models The acceptance of modal innovation: The case of swiss- metro,

Reference 53

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This paper cites nuscenes: A multimodal dataset for autonomous driving,.

Measuring the State of Open Science in Transportation Using Large Language Models nuscenes: A multimodal dataset for autonomous driving,

Reference 54

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Observation b5dd9d1f-0809-41c5-82cd-d6c08a76e99e · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset,.

Measuring the State of Open Science in Transportation Using Large Language Models Scalability in perception for autonomous driving: Waymo open dataset,

Reference 55

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Observation 8b1e78c1-b0da-4fa4-af77-0a7e3749451b · outbound

This paper cites Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset,.

Measuring the State of Open Science in Transportation Using Large Language Models Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset,

Reference 56

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Observation fd5f0c36-14b8-4979-8971-9d76faa6a4db · outbound

This paper cites On the new era of urban traffic monitoring with massive drone data: The pneuma large-scale field experiment,.

Measuring the State of Open Science in Transportation Using Large Language Models On the new era of urban traffic monitoring with massive drone data: The pneuma large-scale field experiment,

Reference 57

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Observation 693ae12c-53ae-4f5a-9f79-ddbec5342a9a · outbound

This paper cites Evaluation of large-scale complete vehicle trajectories dataset on two kilometers highway segment for one hour duration: Zen traffic data,.

Measuring the State of Open Science in Transportation Using Large Language Models Evaluation of large-scale complete vehicle trajectories dataset on two kilometers highway segment for one hour duration: Zen traffic data,

Reference 58

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Observation 5e2a4a65-fb72-43d9-b255-f91cb4bc51a3 · outbound

This paper cites I-24 motion: An instrument for freeway traffic science,.

Measuring the State of Open Science in Transportation Using Large Language Models I-24 motion: An instrument for freeway traffic science,

Reference 59

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Observation ceb6123e-d2c7-4909-8643-78cd89efbb9f · outbound

This paper cites Enhancing human mobility research with open and standardized datasets,.

Measuring the State of Open Science in Transportation Using Large Language Models Enhancing human mobility research with open and standardized datasets,

Reference 60

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Observation 1a953ff7-971e-4ee4-9028-d2fa618a30fb · outbound

This paper cites Yjmob100k: City-scale and longitudinal dataset of anonymized human mobility trajectories,.

Measuring the State of Open Science in Transportation Using Large Language Models Yjmob100k: City-scale and longitudinal dataset of anonymized human mobility trajectories,

Reference 61

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Measuring the State of Open Science in Transportation Using Large Language Models The dlr highway traffic dataset (dlr-ht): Longest road user trajectories on a german highway,

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Measuring the State of Open Science in Transportation Using Large Language Models Main challenges and opportunities, constraints and barriers of open science in transport research,

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Measuring the State of Open Science in Transportation Using Large Language Models Synshrp2: A synthetic multimodal benchmark for driving safety-critical events derived from real-world driving data,

Reference 64

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Measuring the State of Open Science in Transportation Using Large Language Models Big data in public transportation: a review of sources and methods,

Reference 65

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Measuring the State of Open Science in Transportation Using Large Language Models Collect it all: National security, big data and governance,

Reference 66

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Measuring the State of Open Science in Transportation Using Large Language Models Threats related to open geospatial data in the uncertain geopolitical environment,

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Measuring the State of Open Science in Transportation Using Large Language Models China’s privacy protection strategy and its geopolitical implications,

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Measuring the State of Open Science in Transportation Using Large Language Models A brief history of travel forecasting,

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Measuring the State of Open Science in Transportation Using Large Language Models 2024 iatbr lifetime achievement lecture – travel behavior research: Science, em- pirics, models and applications

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Measuring the State of Open Science in Transportation Using Large Language Models Eager: How well does traffic control theory and optimization research work on public roads?,

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Measuring the State of Open Science in Transportation Using Large Language Models Reproducible research in signal processing,

Reference 72

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Measuring the State of Open Science in Transportation Using Large Language Models What does research reproducibility mean?,

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Measuring the State of Open Science in Transportation Using Large Language Models Chatgpt outperforms crowd workers for text-annotation tasks,

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Measuring the State of Open Science in Transportation Using Large Language Models Reproscreener: Leveraging llms for assessing computational repro- ducibility of machine learning pipelines,

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Measuring the State of Open Science in Transportation Using Large Language Models Core-bench: Fostering the credibil- ity of published research through a computational reproducibility agent benchmark,

Reference 76

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Measuring the State of Open Science in Transportation Using Large Language Models The role of large language models in the peer-review process: opportu- nities and challenges for medical journal reviewers and editors,

Reference 77

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Measuring the State of Open Science in Transportation Using Large Language Models The promise and challenges of using llms to accelerate the screening process of systematic reviews,

Reference 78

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Measuring the State of Open Science in Transportation Using Large Language Models A critical assessment of large language models for systematic reviews: utilizing chatgpt for complex data extraction,

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Measuring the State of Open Science in Transportation Using Large Language Models Comparative analysis of smart city scientific research trends in the usa and china,

Reference 80

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Measuring the State of Open Science in Transportation Using Large Language Models Artificial intelligence faces reproducibility crisis,

Reference 81

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Measuring the State of Open Science in Transportation Using Large Language Models Croissant: A metadata format for ml-ready datasets,

Reference 82

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Measuring the State of Open Science in Transportation Using Large Language Models Reproducibility in management science,

Reference 83

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Measuring the State of Open Science in Transportation Using Large Language Models Welcome to the ijoc software and data repositories,

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Measuring the State of Open Science in Transportation Using Large Language Models Information infrastructure for research col- laboration in land use, transportation, and environmental planning,

Reference 85

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Measuring the State of Open Science in Transportation Using Large Language Models The oxford radar robotcar dataset: A radar extension to the oxford robotcar dataset,

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Measuring the State of Open Science in Transportation Using Large Language Models The ind dataset: A drone dataset of naturalistic road user trajectories at german intersections,

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Measuring the State of Open Science in Transportation Using Large Language Models Flow: A Modular Learning Frame- work for Mixed Autonomy Traffic,

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Measuring the State of Open Science in Transportation Using Large Language Models Dl- traff: Survey and benchmark of deep learning models for urban traffic prediction,

Reference 89

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Measuring the State of Open Science in Transportation Using Large Language Models Reproducible research in transportation,

Reference 90

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Measuring the State of Open Science in Transportation Using Large Language Models How can we ensure visibility and diversity in research contributions? how the contributor role taxonomy (credit) is helping the shift from authorship to contributorship,

Reference 91

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Measuring the State of Open Science in Transportation Using Large Language Models Artifact review and badging,

Reference 92

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Measuring the State of Open Science in Transportation Using Large Language Models Reproducible, reusable, and robust reinforcement learning,

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Measuring the State of Open Science in Transportation Using Large Language Models The State of Open Data 2024: Special Report Bridging policy and practice in data sharing,

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Measuring the State of Open Science in Transportation Using Large Language Models REproducible research in transportation engineering (rerite) working group

Reference 95

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Measuring the State of Open Science in Transportation Using Large Language Models Towards wide-scale adoption of open science practices: The role of open science communities,

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Measuring the State of Open Science in Transportation Using Large Language Models Reproducibil- ity in transportation research: A hands-on tutorial 2.0 – reproducible manuscripts

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Measuring the State of Open Science in Transportation Using Large Language Models Generative ai poses ethical challenges for open science,

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Measuring the State of Open Science in Transportation Using Large Language Models Text and data mining license

Reference 99

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Measuring the State of Open Science in Transportation Using Large Language Models Software Framework for Topic Modelling with Large Corpora,

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