{"id":"W4317206776","doi":"10.18280/ijsse.120613","title":"Development of a Driver Safety Monitoring Device with Ignition Interlock","year":2022,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"IoT and GPS-based Vehicle Safety Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Buzzer; ALARM; Automotive engineering; Interlock; Drunk driving; Poison control; Microcontroller; Liquid-crystal display; Brake; Computer security; Computer science; Engineering; Simulation; Embedded system; Injury prevention; Medical emergency; Electrical engineering; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005345723,0.0006173775,0.0005947843,0.0008827733,0.0003307172,0.0005551126,0.001817936,0.001159108,0.006058245],"category_scores_gemma":[0.001001849,0.0004185064,0.0004563292,0.0003067966,0.0001962247,0.001008017,0.0007215002,0.0008147252,0.002479873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002245756,"about_ca_system_score_gemma":0.0005665997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006431414,"about_ca_topic_score_gemma":0.000541843,"domain_scores_codex":[0.9992117,0.00006790767,0.00006624823,0.0001867378,0.0003915363,0.00007585523],"domain_scores_gemma":[0.9992907,0.0001039738,0.00006477057,0.0000770234,0.0004020974,0.00006144567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007256313,0.0006149883,0.009824384,0.001143998,0.0001299251,0.001765927,0.0006928738,0.001874901,0.5978683,0.005136845,0.0213883,0.358834],"study_design_scores_gemma":[0.0003312039,0.004201156,0.01723429,0.0002074697,0.0003609016,0.006879063,0.0003052056,0.05871779,0.7066442,0.001103034,0.2036534,0.0003622421],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1458844,0.002042668,0.7956523,0.002070498,0.002396913,0.00203075,0.001384067,0.01955152,0.02898706],"genre_scores_gemma":[0.659517,0.00113103,0.2819791,0.001708124,0.0003700548,0.001235373,0.00152839,0.0004187381,0.05211232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006058245,"threshold_uncertainty_score":0.02026683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006547777728805149,"score_gpt":0.2024219862504726,"score_spread":0.1958742085216674,"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."}}