{"id":"W2171689178","doi":"10.1136/injuryprev-2012-040717","title":"The impact of pedestrian countdown signals on pedestrian-motor vehicle collisions: a reanalysis of data from a quasi-experimental study","year":2013,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children","funders":"Canadian Institutes of Health Research","keywords":"Pedestrian; Countdown; Engineering; Poison control; Transport engineering; Forensic engineering; Injury prevention; Human factors and ergonomics; Aeronautics; Automotive engineering; Aerospace engineering; Medical emergency; Medicine","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":[0.0004647385,0.0001651131,0.0003038892,0.00008078566,0.00009774688,0.00004066225,0.0004533625,0.00007195563,0.0003346961],"category_scores_gemma":[0.00005522161,0.0001133543,0.000180756,0.0002463224,0.00004346748,0.0003045245,0.00008351877,0.0001190691,0.00004737685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009091799,"about_ca_system_score_gemma":0.00005873291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002559933,"about_ca_topic_score_gemma":0.0001120913,"domain_scores_codex":[0.9985387,0.0001731394,0.0005565042,0.0002290311,0.0003207297,0.0001819046],"domain_scores_gemma":[0.9986018,0.0002343766,0.0001727291,0.000864871,0.00005891638,0.00006732218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005107389,0.04708974,0.1361458,0.0002518242,0.01415506,0.00001760332,0.007839611,0.04376769,0.533254,0.00013199,0.04443669,0.1678026],"study_design_scores_gemma":[0.005960544,0.01579761,0.7232669,0.000461985,0.0009247464,0.000001788056,0.009300572,0.2181656,0.02395407,0.0008461255,0.0003825439,0.0009375742],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976678,0.0004535893,0.0002797754,0.00001326244,0.00009429955,0.0008330805,0.0004250783,0.00006213998,0.0001709432],"genre_scores_gemma":[0.999481,0.00009175942,0.0001003288,0.000001372234,0.00006095023,0.00004951459,0.0001168871,0.00002127381,0.00007686889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5871211,"threshold_uncertainty_score":0.4622453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03614975337941537,"score_gpt":0.3363811760559654,"score_spread":0.30023142267655,"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."}}