{"id":"W2173444143","doi":"10.1136/bmjopen-2015-008052","title":"Bicycling injury hospitalisation rates in Canadian jurisdictions: analyses examining associations with helmet legislation and mode share","year":2015,"lang":"en","type":"article","venue":"BMJ Open","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; University of British Columbia","funders":"","keywords":"Medicine; Injury prevention; Demography; Occupational safety and health; Poison control; Cycling; Human factors and ergonomics; Legislation; Jurisdiction; Suicide prevention; Population; Environmental health; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001761602,0.00008488324,0.0002308286,0.0002586972,0.0001194049,0.00004715669,0.00005679862,0.0001095564,0.00003995612],"category_scores_gemma":[0.0009598829,0.00007442823,0.00001481317,0.0003063386,0.00002438621,0.0004948539,0.00002914877,0.000130894,0.000008981362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001786928,"about_ca_system_score_gemma":0.0005433824,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1451184,"about_ca_topic_score_gemma":0.2513972,"domain_scores_codex":[0.9990339,0.0002268199,0.0002766181,0.0001870897,0.0001002607,0.0001753067],"domain_scores_gemma":[0.9993496,0.00009726413,0.0001465335,0.0001444513,0.0001152401,0.0001469377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001248595,0.00001966124,0.9953451,0.00000973736,0.00005143079,0.00000580495,0.001521642,0.0002464384,0.00008542137,0.000224464,0.0009951345,0.001370353],"study_design_scores_gemma":[0.0008236321,0.0002871091,0.9897507,0.0002356,0.00008968846,0.00001004747,0.0007444468,0.006113181,0.00009856607,0.001155553,0.0005662098,0.0001252663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863092,0.0001154225,0.0004054302,0.002092839,0.00008710504,0.002281884,0.00007049865,0.00002245774,0.008615114],"genre_scores_gemma":[0.995573,0.00001192579,0.002610706,0.0004001699,0.00008737362,0.0002723974,0.0006716576,0.000009885517,0.0003628299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1062788,"threshold_uncertainty_score":0.8605743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2509504140103283,"score_gpt":0.4994400149893792,"score_spread":0.2484896009790509,"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."}}