{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006948175,0.0001087469,0.0004811638,0.0001226886,0.00007031611,0.000003532196,0.0000396925,0.00009863171,0.0001604978],"category_scores_gemma":[0.0008113853,0.00008008098,0.0001146997,0.0004839404,0.00003934822,0.00007095889,0.00002223847,0.0001230913,0.0001053353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005986314,"about_ca_system_score_gemma":0.00002109903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001786597,"about_ca_topic_score_gemma":0.000002663915,"domain_scores_codex":[0.9990007,0.0001157508,0.0003575225,0.0001819865,0.0001339533,0.0002101462],"domain_scores_gemma":[0.9989778,0.0005963377,0.0001284576,0.0001810982,0.00005483275,0.0000614543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001569769,0.0001078785,0.8713182,0.00001798055,0.0001562064,0.000008062463,0.0004508345,0.0002955931,0.006930585,0.0002256593,0.009640028,0.110692],"study_design_scores_gemma":[0.002797285,0.0009624257,0.8050795,0.0003420198,0.0006803076,0.00002292148,0.00100108,0.119244,0.06424113,0.001550483,0.003829509,0.0002493114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834601,0.0004672566,0.01385011,0.0002960043,0.0003674537,0.0002346621,0.000004479165,0.0003675887,0.0009523472],"genre_scores_gemma":[0.9184807,0.00004388978,0.08075355,0.00009029022,0.0001113472,0.00003354729,0.0001304341,0.00001153183,0.000344706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1189484,"threshold_uncertainty_score":0.3265607,"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."}}