{"id":"W4225324884","doi":"10.1111/add.15904","title":"Age‐based differences in quantity and frequency of consumption when screening for harmful alcohol use","year":2022,"lang":"en","type":"article","venue":"Addiction","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"National Health and Medical Research Council; Foundation for Alcohol Research and Education; Medical Research Council; Gilead Sciences","keywords":"Alcohol Use Disorders Identification Test; Confidence interval; Cross-sectional study; Medicine; Consumption (sociology); Alcohol consumption; Audit; Demography; Environmental health; Alcohol; Injury prevention; Poison control","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":[0.0001060214,0.00006358988,0.0001575416,0.0001257256,0.00007302153,0.000006507522,0.00002010095,0.00002423653,0.0001648101],"category_scores_gemma":[0.00004695508,0.00005771626,0.00003853506,0.00007081001,0.00003141434,0.0001142714,0.00000844389,0.00006446047,5.882727e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004510608,"about_ca_system_score_gemma":0.00001593147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002871171,"about_ca_topic_score_gemma":0.0005285533,"domain_scores_codex":[0.999486,0.00003310781,0.0001457735,0.0001273727,0.0001210873,0.00008662308],"domain_scores_gemma":[0.9996601,0.0001447848,0.00006648213,0.00008196395,0.00002304055,0.00002366399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002397988,0.0000740601,0.9945928,0.00001502953,0.00003653025,0.000007835381,0.0003876269,0.000005624594,0.001827542,0.000116277,0.00009829539,0.002598618],"study_design_scores_gemma":[0.003281568,0.0002077162,0.9941196,0.00005091603,0.00009962485,0.000003121683,0.0001748688,0.0009995601,0.0008760455,0.00008157162,0.0000539405,0.00005146744],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983032,0.0002988944,0.0008010357,0.00009713204,0.00008021339,0.0003591495,0.00001990821,0.00002946525,0.00001101623],"genre_scores_gemma":[0.9969274,0.00003731325,0.002646746,0.00008585554,0.00001458865,0.00009188849,0.0001071547,0.000006620461,0.00008242499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003041769,"threshold_uncertainty_score":0.2353601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1420073334300418,"score_gpt":0.3236753338314419,"score_spread":0.1816680004014002,"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."}}