{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004378232,0.0008218967,0.001625778,0.0008959282,0.0006442573,0.0001806209,0.0003216585,0.000325664,0.000327817],"category_scores_gemma":[0.0001759613,0.0005419112,0.0007628491,0.005725407,0.0002722667,0.0004373546,0.0001848696,0.0004521897,0.00004937298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001421691,"about_ca_system_score_gemma":0.000207529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002476993,"about_ca_topic_score_gemma":0.003708962,"domain_scores_codex":[0.9960822,0.0001832085,0.0008884367,0.001315605,0.0007196099,0.000810942],"domain_scores_gemma":[0.9975226,0.0002462602,0.000380862,0.00110056,0.0003580958,0.0003916393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005518991,0.000539209,0.9481622,0.00001805737,0.02949766,0.0001552714,0.01133891,0.00008076937,0.001870751,0.000639222,0.001193171,0.005952897],"study_design_scores_gemma":[0.01064919,0.0002151346,0.945902,0.00006500176,0.03388953,0.00001589314,0.003879634,0.0004600591,0.001888092,0.0005822465,0.001646583,0.0008066096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872429,0.006801329,0.000383657,0.002632897,0.0002381025,0.001445892,0.0004591726,0.0001813251,0.0006147585],"genre_scores_gemma":[0.9887019,0.004060874,0.003100621,0.001214285,0.0003193965,0.0002271267,0.0006343078,0.00006925978,0.001672184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01009729,"threshold_uncertainty_score":0.9997032,"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."}}