{"id":"W635446265","doi":"","title":"AN EVALUATION OF THE MONTREAL TRAFFIC MANAGEMENT SYSTEM","year":2000,"lang":"en","type":"article","venue":"","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crash; Emergency response; Intervention (counseling); Transport engineering; Medical emergency; Medicine; Engineering; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003607231,0.000711487,0.000248743,0.001078345,0.000966898,0.0007749929,0.0008842111,0.0003267951,0.003495748],"category_scores_gemma":[0.01013324,0.000168324,0.0003566221,0.0008368049,0.0003719548,0.0005286452,0.0004667633,0.0003473866,0.000390052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00955022,"about_ca_system_score_gemma":0.007581276,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6252185,"about_ca_topic_score_gemma":0.7042981,"domain_scores_codex":[0.9970925,0.00110039,0.0000969759,0.0002076506,0.001228276,0.0002741054],"domain_scores_gemma":[0.9947084,0.0006506491,0.0003689651,0.0001539421,0.003390726,0.0007272633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008157779,0.00657909,0.5438416,0.0007095814,0.0006742624,0.0005450695,0.001865205,0.0273946,0.0212414,0.002705445,0.02631201,0.3599739],"study_design_scores_gemma":[0.0006776612,0.02011296,0.927133,0.00008484966,0.000351331,0.0001204987,0.001222398,0.02132754,0.008840585,0.0001443398,0.01983377,0.0001511193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834104,0.0003442122,0.001112228,0.0005322946,0.00007930551,0.0007816606,0.001731624,0.0001738008,0.0118345],"genre_scores_gemma":[0.99192,0.0001797607,0.001943305,0.0001511009,0.00003625184,0.0002783434,0.001274579,0.00001663384,0.004199933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6252185,"threshold_uncertainty_score":0.7539773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00852247051674964,"score_gpt":0.2046447917869095,"score_spread":0.1961223212701599,"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."}}