{"id":"W4384663366","doi":"10.1111/add.16299","title":"Estimating alcohol‐attributable injury deaths: A comparison of epidemiological methods","year":2023,"lang":"en","type":"article","venue":"Addiction","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Centre on Substance Use","funders":"Centers for Disease Control and Prevention; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Medicine; Environmental health; Epidemiology; Injury prevention; Poison control; Blood alcohol content; Binge drinking; Alcohol; Population; Attributable risk; Demography; Under-reporting; Occupational safety and health; Blood alcohol; Statistics; Internal medicine; Biology; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1854781,0.002024419,0.003171526,0.01034172,0.0007090998,0.003934174,0.003352869,0.002975665,0.003665486],"category_scores_gemma":[0.3837945,0.001674474,0.008002764,0.006006015,0.0009881933,0.004722707,0.003964067,0.002913134,0.000604586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003310471,"about_ca_system_score_gemma":0.002847839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006303128,"about_ca_topic_score_gemma":0.004647379,"domain_scores_codex":[0.742233,0.2090011,0.01605134,0.009292362,0.02249079,0.0009314539],"domain_scores_gemma":[0.5712773,0.3766665,0.01576806,0.01318351,0.02215677,0.0009478805],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01157816,0.001143196,0.3628316,0.01306729,0.05935884,0.0001273922,0.002233659,0.01766905,0.0005299937,0.01358503,0.004401237,0.5134745],"study_design_scores_gemma":[0.00724291,0.01030541,0.6229419,0.02742798,0.03762646,0.001583871,0.005394671,0.1943679,0.003090962,0.04662699,0.04217526,0.001215772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2613964,0.1826332,0.5140535,0.006114285,0.003377938,0.009954832,0.008530081,0.0008128795,0.01312678],"genre_scores_gemma":[0.5787132,0.05999074,0.3418832,0.001694066,0.0009235792,0.009970638,0.004480905,0.000408194,0.001935485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8145219,"threshold_uncertainty_score":0.9809135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1466604677245999,"score_gpt":0.4662588738523437,"score_spread":0.3195984061277438,"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."}}