{"id":"W2170251316","doi":"10.1093/alcalc/agh091","title":"ALCOHOL AND INJURY: MULTI-LEVEL ANALYSIS FROM THE EMERGENCY ROOM COLLABORATIVE ALCOHOL ANALYSIS PROJECT (ERCAAP)","year":2004,"lang":"en","type":"article","venue":"Alcohol and Alcoholism","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Alcohol Abuse and Alcoholism","keywords":"Emergency department; Alcohol consumption; Blood alcohol; Injury prevention; Medicine; Poison control; Multilevel model; Human factors and ergonomics; Odds ratio; Occupational safety and health; Blood alcohol content; Demography; Environmental health; Suicide prevention; Alcohol; Odds; Injury surveillance; Alcohol intoxication; Emergency medicine; Logistic regression; Psychiatry; Internal medicine; Statistics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.006650484,0.0006259522,0.0008288919,0.003449467,0.0006909872,0.0008873601,0.001278955,0.0005836586,0.003181318],"category_scores_gemma":[0.01667117,0.0005077595,0.001285694,0.006656144,0.0002426855,0.0004894091,0.002560193,0.0009644896,0.0004977925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009787015,"about_ca_system_score_gemma":0.002251307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04936607,"about_ca_topic_score_gemma":0.0419312,"domain_scores_codex":[0.9947901,0.00277666,0.0005564817,0.0005346225,0.001023694,0.0003184196],"domain_scores_gemma":[0.989121,0.001766159,0.003612499,0.001591739,0.00288832,0.001020274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002375796,0.00007506306,0.9915729,0.00009397256,0.0004562211,0.00004036082,0.00009366291,0.0003798896,0.00006603358,0.00003660288,0.002068326,0.004879442],"study_design_scores_gemma":[0.00004030533,0.00005585759,0.9984196,0.00001411375,0.0001279569,0.00005459311,0.00009140263,0.0004666073,0.00005194696,0.00002347729,0.000648596,0.000005544444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.90995,0.0003161782,0.006387051,0.0003884089,0.00002194737,0.0008971457,0.08082344,0.0001347222,0.001081115],"genre_scores_gemma":[0.8915102,0.0002554172,0.01330028,0.0001079147,0.00004624507,0.002942169,0.09064303,0.000066434,0.001128279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04936607,"threshold_uncertainty_score":0.09815741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06845376879454444,"score_gpt":0.3472083477310603,"score_spread":0.2787545789365158,"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."}}