{"id":"W2770968500","doi":"10.1503/cmaj.170337","title":"Direct medical costs of motorcycle crashes in Ontario","year":2017,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Traffic and Road Safety","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Disability Prevention and Rehabilitation; Health Sciences Centre; University of Toronto; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Computer science; Poison control; Injury prevention; Human factors and ergonomics; Occupational safety and health; Suicide prevention; Data science; Medical emergency; Computer security; Medicine; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003780033,0.000237065,0.0002328315,0.001286512,0.0007911205,0.0006790749,0.0006147798,0.0002538057,0.001944243],"category_scores_gemma":[0.00243141,0.0002256869,0.0005008345,0.002252384,0.0002709393,0.0002645139,0.0005900265,0.0002975301,0.00008889729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03008812,"about_ca_system_score_gemma":0.01369019,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9666818,"about_ca_topic_score_gemma":0.9809021,"domain_scores_codex":[0.999139,0.00007912601,0.00006459728,0.00007582953,0.0004549737,0.0001865297],"domain_scores_gemma":[0.9985701,0.00009347921,0.0005603834,0.00003214568,0.0005595402,0.0001844029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009933914,0.00002638249,0.9917681,0.00009339411,0.0001202823,0.000132528,0.0002301037,0.0005007152,0.0001078098,0.0001399725,0.001177975,0.005603404],"study_design_scores_gemma":[0.000009891909,0.00002147795,0.9982534,0.00002718656,0.0000347496,0.00005604742,0.0001893783,0.0003209388,0.00003015963,0.00003038847,0.001021822,0.000004488446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893947,0.001174203,0.00009778034,0.0003613859,0.000009767842,0.00006112936,0.006148809,0.000008673931,0.00274348],"genre_scores_gemma":[0.9968848,0.0005249727,0.0001004119,0.00003862336,0.000005888733,0.00002002227,0.001778246,0.000001976142,0.0006449923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03331816,"threshold_uncertainty_score":0.2183055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005650148318604955,"score_gpt":0.2005891233913167,"score_spread":0.1949389750727117,"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."}}