{"id":"W2215517312","doi":"10.17269/cjph.106.4821","title":"Major urban road characteristics and injured pedestrians: A representative survey of intersections in Montréal, Quebec","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Traffic and Road Safety","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université de Montréal","funders":"","keywords":"Pedestrian; Intersection (aeronautics); Transport engineering; Median; Rate ratio; Confidence interval; Geography; Negative binomial distribution; Pedestrian crossing; Statistics; Mathematics; Engineering; Poisson distribution","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0004794693,0.0004224668,0.0004516231,0.001344181,0.002647762,0.001120311,0.001425994,0.0008391524,0.002893312],"category_scores_gemma":[0.001247293,0.0004830626,0.0005578681,0.003660721,0.0005694176,0.0005838575,0.0007698789,0.0006535688,0.0004408359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01556025,"about_ca_system_score_gemma":0.01015189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931978,"about_ca_topic_score_gemma":0.9971761,"domain_scores_codex":[0.9992957,0.00008535713,0.00004646978,0.0001487227,0.0001798761,0.0002438872],"domain_scores_gemma":[0.9988341,0.00006409061,0.0002199478,0.00003561955,0.000551442,0.0002948891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003608494,0.00006768914,0.994285,0.0000279964,0.00008001876,0.00009000176,0.0009283376,0.0001122603,0.0002520537,0.00005264707,0.001755301,0.00231257],"study_design_scores_gemma":[0.000003499774,0.00001499753,0.9979934,0.00001297388,0.00001343642,0.00002120391,0.001167756,0.0001404903,0.00001937028,0.000005288544,0.000601302,0.000006351884],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908648,0.0005423462,0.0002270834,0.0003176675,0.000013436,0.00008797079,0.005532031,0.00001820261,0.002396374],"genre_scores_gemma":[0.996238,0.0002939333,0.0002146135,0.000173462,0.00000631463,0.00004439876,0.001373861,0.000007107277,0.001648443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01556025,"threshold_uncertainty_score":0.1128981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05788477922655477,"score_gpt":0.2735940180614978,"score_spread":0.215709238834943,"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."}}