{"id":"W4220923979","doi":"10.1101/2022.03.15.22272307","title":"Age-based differences in quantity and frequency of consumption when screening for harmful alcohol use","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"National Health and Medical Research Council; Gilead Sciences","keywords":"Alcohol Use Disorders Identification Test; Audit; Consumption (sociology); Alcohol consumption; Cross-sectional study; Environmental health; Medicine; Demography; Alcohol; Psychology; Injury prevention; Poison control; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.002903784,0.0002729602,0.0002641701,0.001155202,0.0003510617,0.0007221558,0.0004570631,0.0005505151,0.002461002],"category_scores_gemma":[0.0106614,0.0003304393,0.0006431104,0.0008892204,0.0002654352,0.0008470894,0.0005921504,0.0005833152,0.0005611976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002472928,"about_ca_system_score_gemma":0.0003033165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008794658,"about_ca_topic_score_gemma":0.01472116,"domain_scores_codex":[0.9970535,0.001247979,0.0004289821,0.000388143,0.0006803266,0.0002010735],"domain_scores_gemma":[0.9943304,0.001030667,0.002786609,0.0004399697,0.001035169,0.0003771317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006686026,0.00003703949,0.9976308,0.00001908434,0.00004383958,0.00001496738,0.0001177216,0.00003076844,0.0001391403,0.0000195971,0.0001807246,0.001699281],"study_design_scores_gemma":[0.000001998118,0.00007920009,0.9993097,0.000008910035,0.00001381235,0.0000502747,0.00009682083,0.000107218,0.00007935931,0.00002695303,0.0002230766,0.000002654722],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935137,0.0005196606,0.0009967231,0.0001128229,0.00004937761,0.0001241254,0.001708356,0.00001426239,0.002960885],"genre_scores_gemma":[0.9966391,0.0001559974,0.0009626718,0.00007805495,0.00002838704,0.0001118806,0.001112401,0.000006548687,0.0009048101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008794658,"threshold_uncertainty_score":0.01748693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2060611149554042,"score_gpt":0.351950176624262,"score_spread":0.1458890616688578,"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."}}