{"id":"W2841494801","doi":"10.1016/j.jsat.2018.07.003","title":"Evaluating moderators of beneficial effects of severity-based assignment to substance use treatments in impaired drivers","year":2018,"lang":"en","type":"article","venue":"Journal of Substance Abuse Treatment","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Public Health Ontario; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Recidivism; Random assignment; Regression discontinuity design; Psychological intervention; Sensation seeking; Population; Psychology; Poison control; Affect (linguistics); Injury prevention; Addiction; Human factors and ergonomics; Clinical psychology; Psychiatry; Environmental health; Medicine; Social psychology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003438114,0.0005212307,0.001487493,0.0006697127,0.00008017468,0.00001706949,0.0001835939,0.0001456871,0.00004292964],"category_scores_gemma":[0.00006565463,0.0003905997,0.0004818041,0.0008356603,0.0001567058,0.0003807097,0.000005180614,0.0001401778,0.000007797043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001987726,"about_ca_system_score_gemma":0.0003377582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000487531,"about_ca_topic_score_gemma":0.00093639,"domain_scores_codex":[0.996473,0.0001585327,0.001369221,0.0004036799,0.001061785,0.0005337408],"domain_scores_gemma":[0.9969229,0.0005261938,0.001031411,0.000549457,0.0006509711,0.0003190708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008586993,0.004365367,0.9014941,0.0001172642,0.001383891,0.0007702981,0.03364025,0.001926404,0.04113815,0.00001789429,0.00004996923,0.006509451],"study_design_scores_gemma":[0.0360107,0.01493493,0.4109639,0.002918556,0.001524358,0.00003016605,0.001161625,0.0006118788,0.5313457,0.00006319649,0.0000269125,0.0004080689],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969844,0.0008672743,0.0003363714,0.00008250085,0.0003586845,0.001317209,0.00001108478,0.00002235929,0.0000201657],"genre_scores_gemma":[0.9875011,0.0005978667,0.0114819,0.0001047151,0.0001134042,0.000047245,0.000008151271,0.00005444221,0.00009117409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4905302,"threshold_uncertainty_score":0.9998546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05263887115428159,"score_gpt":0.333083570725088,"score_spread":0.2804446995708064,"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."}}