{"id":"W1486225309","doi":"","title":"The Impact of Traffic Lights on Dangerous Pedestrian Crossings and Violations: a Case Study in Montreal","year":2012,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Traffic and Road Safety","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Pedestrian crossing; Intersection (aeronautics); Signal timing; Transport engineering; Computer science; Simulation; Statistics; Engineering; Mathematics; Traffic signal; Real-time computing","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":[0.0006565605,0.0006745273,0.0003237854,0.001108618,0.003454962,0.001082857,0.001123299,0.0007491941,0.002255017],"category_scores_gemma":[0.001846538,0.0003250588,0.0004500176,0.00172335,0.00110376,0.0004453128,0.0009512283,0.0005005854,0.0001568908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01465988,"about_ca_system_score_gemma":0.006974864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.909893,"about_ca_topic_score_gemma":0.9619513,"domain_scores_codex":[0.9991317,0.0001772967,0.0000287757,0.0001043763,0.0002479567,0.0003098017],"domain_scores_gemma":[0.9991078,0.0001720359,0.0001722866,0.00004285105,0.0002339957,0.0002709127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006568926,0.001211413,0.8590159,0.0003049186,0.0002211273,0.04770821,0.01941335,0.01130307,0.01250378,0.001434963,0.002498474,0.04372786],"study_design_scores_gemma":[0.00005011969,0.0009312314,0.9531506,0.00004339182,0.0001351263,0.003050484,0.02886487,0.007033408,0.001951318,0.0001607663,0.004494187,0.0001343581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984176,0.00005532188,0.0001693684,0.00005231375,0.000002745104,0.00004821263,0.0001123776,0.000008433177,0.001133687],"genre_scores_gemma":[0.9984064,0.0001019214,0.0003356218,0.00001960743,0.000002520124,0.00001551774,0.00008458152,0.000004218752,0.001029685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09010696,"threshold_uncertainty_score":0.1812752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01104637609578232,"score_gpt":0.2493177937101863,"score_spread":0.2382714176144039,"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."}}