{"id":"W7133017889","doi":"","title":"Program compliance in Ontario&apos;s remedial measures program for convicted drinking drivers","year":2004,"lang":"","type":"dissertation","venue":"TSpace","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Suicide prevention; Injury prevention; Occupational safety and health; Poison control; Human factors and ergonomics; Recidivism; Sample (material); Driver rehabilitation","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":[0.0007812674,0.0001140256,0.0001678768,0.000523248,0.0008186409,0.0003827169,0.0005131502,0.0002662443,0.001435918],"category_scores_gemma":[0.005323212,0.000185778,0.0001764909,0.0004284022,0.0002010183,0.0002421645,0.0004883826,0.0005318893,0.0001982863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002286365,"about_ca_system_score_gemma":0.005135685,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3644742,"about_ca_topic_score_gemma":0.5952923,"domain_scores_codex":[0.9991952,0.0001125424,0.00005173838,0.00005778498,0.0003205793,0.0002623098],"domain_scores_gemma":[0.997477,0.000218779,0.001025565,0.00008173492,0.0003988224,0.0007980336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001332462,0.0006102212,0.9813564,0.00001631552,0.00001180019,0.00005142495,0.000686807,0.00004066838,0.0001703328,0.00002781519,0.0009414027,0.01595351],"study_design_scores_gemma":[0.00000846303,0.0001740524,0.999155,0.000006566333,0.000003063134,0.00001885614,0.0002498084,0.00008810811,0.00003590545,0.000004050152,0.0002545353,0.000001611469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990225,0.00003567451,0.00001941327,0.0001371997,0.000004397953,0.00003968598,0.0001842616,0.000004186787,0.0005527165],"genre_scores_gemma":[0.9983144,0.00008008708,0.00006865849,0.00007035985,0.000008561829,0.00004493022,0.0003927939,0.000002136595,0.001018148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6355258,"threshold_uncertainty_score":0.7247055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1042561955997562,"score_gpt":0.4128169916546254,"score_spread":0.3085607960548692,"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."}}