{"id":"W2592928524","doi":"10.1136/injuryprev-2017-042378","title":"Spatial distribution of pedestrian-motor vehicle collisions before and after pedestrian countdown signal installation in Toronto, Canada","year":2017,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children; Institut National de la Recherche Scientifique; York University","funders":"Institute of Human Development, Child and Youth Health; Canadian Institutes of Health Research","keywords":"Pedestrian; Countdown; Transport engineering; Pedestrian crossing; Geography; Computer science; Engineering; Aerospace 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003176462,0.0003082299,0.0002351648,0.001367297,0.00127577,0.0007445232,0.0009662686,0.0002730404,0.00323254],"category_scores_gemma":[0.002038547,0.0003326604,0.0004022332,0.002348519,0.0005568117,0.0003214703,0.0009763839,0.0003012369,0.0003079567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01514121,"about_ca_system_score_gemma":0.01324773,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.986998,"about_ca_topic_score_gemma":0.9924904,"domain_scores_codex":[0.9993269,0.00004664004,0.00004792079,0.0001236603,0.0002668511,0.0001880004],"domain_scores_gemma":[0.9979596,0.0001381292,0.0005046401,0.0000706335,0.0009769567,0.0003499674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009673898,0.00001119144,0.9915842,0.00006898469,0.00003678562,0.0001387362,0.001128522,0.0003651988,0.0002996964,0.00007910069,0.001330922,0.00485993],"study_design_scores_gemma":[0.000001395722,0.00001245319,0.9986705,0.00001674798,0.000008017438,0.00003057189,0.0007379375,0.0001303302,0.00003754762,0.000005930684,0.0003438281,0.000004772957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891604,0.0006757349,0.0002570173,0.0001460783,0.00000889611,0.00003240188,0.007648611,0.00003042163,0.002040514],"genre_scores_gemma":[0.9962022,0.0002884063,0.0002029056,0.00001674008,0.000002900815,0.0000150299,0.002126422,0.000004639841,0.001140864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01514121,"threshold_uncertainty_score":0.1098577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005209806755300529,"score_gpt":0.2302220481506022,"score_spread":0.2250122413953016,"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."}}