{"id":"W3590634","doi":"","title":"Public Health: Snowmobile injuries","year":2003,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Agriculture and Farm Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Epidemiology; Public health; Injury prevention; Occupational safety and health; Medical examiner; Medical emergency; Poison control; Environmental health; Demography; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005533725,0.0004690796,0.0002510288,0.002372501,0.0009515392,0.001526677,0.0005470228,0.001739146,0.02278148],"category_scores_gemma":[0.002369113,0.00021706,0.0004151996,0.002487632,0.000910675,0.001489005,0.001779088,0.001154261,0.001688255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002059296,"about_ca_system_score_gemma":0.002816308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07546089,"about_ca_topic_score_gemma":0.04859338,"domain_scores_codex":[0.9992771,0.0001814148,0.00005300301,0.00009988958,0.0001841882,0.0002044478],"domain_scores_gemma":[0.9986863,0.0001828706,0.0003782285,0.0000392062,0.0003961042,0.0003173152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001824979,0.0004315795,0.6275851,0.002225936,0.0002083031,0.001979165,0.001414856,0.0004269214,0.0003653847,0.004768331,0.2034769,0.1569348],"study_design_scores_gemma":[0.00003743585,0.0001709015,0.9213301,0.002486321,0.00008226824,0.002029501,0.002732743,0.0004432547,0.00009654267,0.004464217,0.06610189,0.00002489597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3792324,0.1568207,0.002269399,0.2435649,0.007301032,0.0005182512,0.03235047,0.0005095143,0.1774335],"genre_scores_gemma":[0.8740705,0.07925058,0.0007617233,0.01388678,0.005712816,0.000228038,0.01164589,0.0000365365,0.01440701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07546089,"threshold_uncertainty_score":0.1500433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02004571185138074,"score_gpt":0.2158147973901932,"score_spread":0.1957690855388125,"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."}}