{"id":"W4289654090","doi":"10.1155/2022/6940850","title":"Analysis of the Impact of Ride-Hailing on Urban Road Network Traffic by Using Vehicle Trajectory Data","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Anhui Province; Hefei University","keywords":"Transport engineering; Traffic congestion; Computer science; License; Work (physics); Floating car data; Vehicle miles of travel; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003042524,0.0001056707,0.0003035146,0.0002234447,0.00008196929,0.000003982007,0.0002643715,0.00002791805,0.00005842406],"category_scores_gemma":[0.0000094951,0.00009029225,0.0002793255,0.001522254,0.00002797464,0.0002495887,0.0000018636,0.0002591978,4.215419e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009745278,"about_ca_system_score_gemma":0.00007631163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003176291,"about_ca_topic_score_gemma":0.0001139585,"domain_scores_codex":[0.9985813,0.000035967,0.0008184538,0.0001021107,0.0003427219,0.0001194718],"domain_scores_gemma":[0.9990578,0.0000536156,0.00045586,0.0002784735,0.0001198029,0.00003441959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00008429657,0.00008828543,0.009931147,0.00001687767,0.000580401,0.000001035198,0.001230133,0.9541246,0.03172589,0.00001271891,0.00008478248,0.00211982],"study_design_scores_gemma":[0.0008775828,0.0001873229,0.8418794,0.00004597952,0.0010409,0.000001259775,0.0009168439,0.1531939,0.001560945,0.00001437854,0.0001408905,0.0001405701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964948,0.0002714444,0.002266688,0.00001259243,0.0002291856,0.0001100768,0.0005908459,0.00001526818,0.000009135947],"genre_scores_gemma":[0.999181,0.00002681156,0.0004750362,0.00000940587,0.00002621353,0.000001872933,0.0002609166,0.00001595814,0.000002774755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8319483,"threshold_uncertainty_score":0.3682011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849904326056327,"score_gpt":0.2749799431732979,"score_spread":0.2564808999127346,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}