{"id":"W2473961611","doi":"10.1186/s12889-016-3221-8","title":"A population based study of drowning in Canada","year":2016,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Epidemiology; Injury prevention; Poison control; Case fatality rate; Demography; Occupational safety and health; Biostatistics; Population; Suicide prevention; Public health; Mortality rate; Environmental health; Surgery; Internal medicine; Pathology","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":[0.0003667208,0.0002829266,0.0003358379,0.002047224,0.002370666,0.0009584234,0.0006942949,0.0003256435,0.00199611],"category_scores_gemma":[0.001263531,0.0003493657,0.0003815001,0.00593367,0.0005656796,0.0003706522,0.0007717601,0.00064696,0.0002557544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01712,"about_ca_system_score_gemma":0.02655113,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9891403,"about_ca_topic_score_gemma":0.992262,"domain_scores_codex":[0.9993992,0.00002974385,0.00004300124,0.00009293009,0.0002793379,0.0001557309],"domain_scores_gemma":[0.9989281,0.00004511711,0.000178404,0.0000305287,0.0005669825,0.0002508308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002877517,0.0000407971,0.9936836,0.00006374176,0.00002690454,0.0001836345,0.001253613,0.00004902534,0.0002644369,0.00006156477,0.0008649662,0.003478984],"study_design_scores_gemma":[0.000004708721,0.00003277402,0.9964738,0.00003652777,0.00001203905,0.0001176108,0.002000906,0.00008628186,0.00002984851,0.00001431502,0.001184105,0.000007110498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985347,0.0006301641,0.0002314827,0.0002514382,0.00001480061,0.0002610336,0.009627583,0.00001847443,0.003617971],"genre_scores_gemma":[0.9936511,0.001052824,0.0004658723,0.0001667792,0.000009322666,0.0001047773,0.003327396,0.000005528704,0.001216366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01712,"threshold_uncertainty_score":0.1242149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07816456720188221,"score_gpt":0.3720776823030656,"score_spread":0.2939131151011834,"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."}}