{"id":"W2044178847","doi":"10.3141/2421-09","title":"Modeling and Analysis of Merging Behavior at Expressway On-Ramp Bottlenecks","year":2014,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Traffic control and management","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Computer science; Transport engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00107963,0.0005908087,0.0005273253,0.000818679,0.0004181492,0.0006171759,0.001155119,0.0005052213,0.001060395],"category_scores_gemma":[0.001989254,0.0003666327,0.0006508571,0.0005284489,0.0005335314,0.000951912,0.0005177907,0.0004414452,0.00008147417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722418,"about_ca_system_score_gemma":0.001602753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07965981,"about_ca_topic_score_gemma":0.03401941,"domain_scores_codex":[0.9996438,0.0001023922,0.00001600447,0.00006998298,0.00004046845,0.0001273655],"domain_scores_gemma":[0.9991041,0.0003972232,0.0002189318,0.00004917975,0.0001363593,0.00009418557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005420093,0.0001293508,0.03374483,0.00001952709,0.00002454873,0.00009941553,0.0001523053,0.959789,0.001040048,0.002080018,0.00008826369,0.002778413],"study_design_scores_gemma":[0.00000200094,0.00001933098,0.003809044,0.000001200001,0.000006793298,0.000005108156,0.00004652021,0.9957466,0.0001112589,0.0002159043,0.00003311214,0.000003231764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982831,0.00003118996,0.01639828,0.00002782574,0.000002309828,0.00002434027,0.0000777369,0.00004586402,0.0005614579],"genre_scores_gemma":[0.9971709,0.00002883474,0.002331061,0.000001982965,0.000001536352,0.00001512635,0.00008072455,0.000004476427,0.0003654138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07965981,"threshold_uncertainty_score":0.1583923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04823966044234847,"score_gpt":0.3269097521390488,"score_spread":0.2786700916967003,"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."}}