{"id":"W2164598682","doi":"10.1136/bmj.f2674","title":"Helmet legislation and admissions to hospital for cycling related head injuries in Canadian provinces and territories: interrupted time series analysis","year":2013,"lang":"en","type":"article","venue":"BMJ","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Université Laval; Ottawa Hospital; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Legislation; Medicine; Confidence interval; Occupational safety and health; Injury prevention; Cycling; Poison control; Demography; Suicide prevention; Human factors and ergonomics; Environmental health; Geography; Political science; Internal 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001755178,0.0003234655,0.0005949872,0.001779038,0.0007566307,0.001043605,0.001409995,0.0004461029,0.001755526],"category_scores_gemma":[0.01106017,0.0003319729,0.0009655383,0.004974722,0.0005327084,0.0003703553,0.0006366276,0.0007738221,0.0001203717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01330563,"about_ca_system_score_gemma":0.01773481,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9782282,"about_ca_topic_score_gemma":0.9609108,"domain_scores_codex":[0.9976326,0.0003201812,0.0002310284,0.0003651611,0.0008239087,0.0006270116],"domain_scores_gemma":[0.9930988,0.0009271773,0.003139593,0.0002871818,0.001850364,0.0006968827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001320951,0.00001948171,0.9964108,0.00004699875,0.0002180772,0.00003945466,0.000166577,0.0004813892,0.00003165745,0.00005159347,0.0004686039,0.001933287],"study_design_scores_gemma":[0.000008506792,0.00001905966,0.9982533,0.00003277708,0.00005632771,0.00002117527,0.0002042203,0.001015704,0.0000209185,0.00001234341,0.0003489603,0.000006672868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864191,0.001773523,0.000462516,0.000395566,0.00002250247,0.00004853701,0.009614849,0.00002040506,0.00124305],"genre_scores_gemma":[0.9940214,0.0006419563,0.0002860681,0.00004923752,0.000008588154,0.0000331338,0.004615668,0.000005732927,0.00033833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02177179,"threshold_uncertainty_score":0.09653956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312770547305006,"score_gpt":0.333583298082448,"score_spread":0.3204555926093979,"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."}}