{"id":"W2050366510","doi":"10.1061/(asce)0733-947x(2008)134:9(370)","title":"Modeling Driver Behavior and Safety on Freeway Merging Areas","year":2008,"lang":"en","type":"article","venue":"Journal of Transportation Engineering","topic":"Traffic and Road Safety","field":"Engineering","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Waterloo; University of British Columbia","funders":"Ontario Innovation Trust","keywords":"Merge (version control); Acceleration; Traffic speed; Percentile; Operating speed; Computer science; Traffic volume; Simulation; Transport engineering; Speedup; Traffic flow (computer networking); Geometric design; Engineering; Mathematics; Statistics; Computer security; Civil engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008339364,0.000138631,0.0001959218,0.0001611568,0.00005463096,0.000006218028,0.00006418349,0.00006296429,0.00001299622],"category_scores_gemma":[0.00000440853,0.0001318479,0.00008572714,0.00009490673,0.000009955562,0.0002130017,9.509877e-7,0.0002570204,0.000001394327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004060481,"about_ca_system_score_gemma":0.00001140589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001759946,"about_ca_topic_score_gemma":0.000002996039,"domain_scores_codex":[0.9991747,0.000003699833,0.0004026292,0.00007366449,0.0001993102,0.0001460676],"domain_scores_gemma":[0.9997239,0.00002186419,0.00003816401,0.00006306271,0.0000480082,0.0001050228],"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":[0.00001682171,0.00001370396,0.001269055,0.00002778456,0.0000357515,0.00009447656,0.0008910261,0.995344,0.001025524,0.0001102059,0.00001536498,0.001156305],"study_design_scores_gemma":[0.001117278,0.00006889913,0.2852586,0.0002003611,0.0000993671,0.0001807446,0.0001358785,0.7110413,0.0008165525,0.000003226713,0.0007631825,0.0003146629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8857228,0.0003327574,0.1133805,0.00001600922,0.0003295879,0.00004850121,0.000007742472,0.00009166383,0.00007046667],"genre_scores_gemma":[0.9958661,0.0005906753,0.003379771,0.000007155857,0.0001085314,0.000001824737,0.000005531246,0.00003274314,0.000007682866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2843027,"threshold_uncertainty_score":0.5376601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008409621662723202,"score_gpt":0.1878425801461452,"score_spread":0.1794329584834221,"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."}}