{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001265426,0.0005150037,0.0003522351,0.001853859,0.0009487614,0.001326535,0.001427819,0.0008241939,0.003817532],"category_scores_gemma":[0.007929422,0.0004200259,0.0005081822,0.001325614,0.0006200924,0.0008781098,0.00121056,0.002148086,0.0005648575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006706854,"about_ca_system_score_gemma":0.0008861801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03446776,"about_ca_topic_score_gemma":0.04063318,"domain_scores_codex":[0.9988945,0.0002002623,0.0001322494,0.000124465,0.0003188175,0.0003296699],"domain_scores_gemma":[0.9902531,0.001670344,0.004708676,0.0003176122,0.001281033,0.00176924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002147401,0.00003874426,0.999419,0.000002491049,0.000004647452,0.00002291279,0.00003418298,0.00001936946,0.00001236981,0.000005503985,0.00004685146,0.0003725777],"study_design_scores_gemma":[0.000001441315,0.00008126758,0.9988158,0.00001110496,0.00000865719,0.0001461017,0.0004655567,0.000326068,0.00004856505,0.00001552108,0.00007638054,0.000003612611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984372,0.0001864588,0.00006990264,0.00008262774,0.000007832925,0.00001957937,0.0002931465,0.000008798123,0.0008944995],"genre_scores_gemma":[0.9992052,0.00008618779,0.00009230019,0.00001214748,0.000006938073,0.00001335948,0.0002964067,0.000004017609,0.0002836498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03446776,"threshold_uncertainty_score":0.06853426,"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."}}