{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002802914,0.0005999554,0.0002758774,0.001430021,0.001876888,0.002334844,0.0009997612,0.0009185326,0.128675],"category_scores_gemma":[0.0002831589,0.0003066565,0.0002106168,0.001191542,0.0005718158,0.0008278184,0.001061065,0.00174994,0.03421475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006756868,"about_ca_system_score_gemma":0.006321585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.231417,"about_ca_topic_score_gemma":0.6058794,"domain_scores_codex":[0.9996779,0.000007620193,0.000002840263,0.00003406715,0.0002334459,0.0000441093],"domain_scores_gemma":[0.999863,0.00001136852,0.000004437132,0.00001459104,0.00008118655,0.00002544288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003665227,0.00003144565,0.0001651322,0.00008719888,0.000001971631,0.00005720273,0.0001016177,0.0003977752,0.001133207,0.06122257,0.6881804,0.2485847],"study_design_scores_gemma":[0.000001299949,0.000003456239,0.0001985092,0.00002865133,0.000001032549,0.00002540671,0.00002627159,0.00009304286,0.0004875976,0.00155042,0.997582,0.000002340371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000407798,0.002447997,0.00101595,0.0004868953,0.0005993902,0.00001877767,0.0003333393,0.0002067981,0.9944831],"genre_scores_gemma":[0.002190914,0.001116125,0.0006179493,0.0001036656,0.00002587465,0.000007095003,0.0002083285,0.00006048747,0.9956696],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7685829,"threshold_uncertainty_score":0.46014,"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."}}