{"id":"W2998460122","doi":"10.1007/978-3-030-27419-1_26","title":"Alberta Ignition Interlock Program (IIP)","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ontario Ministry of Health and Long-Term Care; Ontario Neurotrauma Foundation","keywords":"Interlock; Ignition system; Automotive engineering; Engineering; Drunk driving; Aeronautics; Forensic engineering; Transport engineering; Simulation; Poison control; Injury prevention; Medical emergency; Medicine; Electrical engineering","routes":{"ca_aff":false,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003047998,0.0002578182,0.0002861175,0.0001151051,0.00005712239,0.0002504112,0.0004564637,0.000253507,0.0147837],"category_scores_gemma":[0.00003253616,0.0002033536,0.00009165915,0.00002688841,0.0001093112,0.0001506242,0.0001977394,0.0001867111,0.01496914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008613944,"about_ca_system_score_gemma":0.0001087633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003899209,"about_ca_topic_score_gemma":0.0001416773,"domain_scores_codex":[0.998374,0.00001189861,0.0002496504,0.0004735627,0.0004611904,0.0004297377],"domain_scores_gemma":[0.9992111,0.00006319246,0.000072232,0.0004165061,0.00009115694,0.0001457593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006899124,0.0001146314,0.000003451936,0.0007433379,0.00004114683,0.00003479801,0.000206775,0.00006736338,0.4240119,0.479661,0.04266337,0.05238322],"study_design_scores_gemma":[0.0001962421,0.000446922,0.00000638658,0.0003685353,0.00002009436,0.00002185713,0.00001012803,0.0002098399,0.03171973,0.004915083,0.9614527,0.000632529],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00105506,0.00003797516,0.0001534902,0.0001385048,0.001174736,0.0006061348,0.00002109549,0.0002924053,0.9965206],"genre_scores_gemma":[0.01010757,0.00004728643,0.001244554,0.00004327108,0.0002508368,0.00003138669,0.00004472333,0.00004915591,0.9881812],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9187893,"threshold_uncertainty_score":0.9861169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02284914865194897,"score_gpt":0.2779604707955413,"score_spread":0.2551113221435923,"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."}}