{"id":"W649842332","doi":"","title":"PREDICTORS OF FAILED INTERLOCK BAC TESTS AND USING FAILED BAC TESTS TO PREDICT POST-INTERLOCK REPEAT DUIS","year":2000,"lang":"en","type":"article","venue":"Proceedings International Council on Alcohol, Drugs and Traffic Safety Conference","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interlock; Interview; License; Medicine; Engineering; Computer science; Law","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":[0.0004646878,0.000494074,0.0006819028,0.0002506548,0.0001314772,0.0001207673,0.0002764489,0.0001633426,0.0006824067],"category_scores_gemma":[0.0004978992,0.0004086602,0.0001418518,0.0002745058,0.0002091674,0.0003848359,0.00008052007,0.0002951609,0.00002940909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005731922,"about_ca_system_score_gemma":0.0003715637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004701661,"about_ca_topic_score_gemma":0.00009014456,"domain_scores_codex":[0.9966389,0.00001500294,0.0007566385,0.0008265633,0.00134822,0.0004146615],"domain_scores_gemma":[0.9971214,0.0002052878,0.0002341586,0.0002065718,0.001881851,0.0003507567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01643476,0.001443764,0.7938455,0.0004009893,0.002483767,0.0001076963,0.04617387,0.0001912895,0.01109092,0.002079682,0.002760286,0.1229875],"study_design_scores_gemma":[0.0267788,0.005479558,0.8981416,0.006969701,0.001333372,0.0004700065,0.01118726,0.02622696,0.005480299,0.00019161,0.01573983,0.002001068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853896,0.0001894502,0.00001000035,0.001443082,0.0003067795,0.0007470306,0.00006230005,0.0001616463,0.01169012],"genre_scores_gemma":[0.9957311,0.0005602478,0.0006026504,0.0005943674,0.00020224,0.00003752055,0.00004162564,0.00004745195,0.002182802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1209864,"threshold_uncertainty_score":0.9998365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04518328964666599,"score_gpt":0.2739176594786721,"score_spread":0.2287343698320061,"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."}}