{"id":"W2000642578","doi":"10.5267/j.ijiec.2012.08.004","title":"Reliability prediction for the vehicles equipped with advanced driver assistance systems (ADAS) and passive safety systems (PSS)","year":2012,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Advanced driver assistance systems; Active safety; Reliability (semiconductor); Automotive engineering; Warning system; Crash; Lane departure warning system; System safety; Vehicle safety; Engineering; Transport engineering; Computer science; Reliability engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003327843,0.0001357008,0.0001969579,0.0001226994,0.00009680758,0.00005490923,0.000207931,0.000133762,0.000001383777],"category_scores_gemma":[0.0001579017,0.0001009155,0.00005259403,0.0001131364,0.00005115353,0.0003866864,0.00002183178,0.0003753163,6.834966e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002492357,"about_ca_system_score_gemma":0.00004591153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006286111,"about_ca_topic_score_gemma":8.036344e-7,"domain_scores_codex":[0.9989948,0.00002122579,0.0004826694,0.00008460671,0.0002376293,0.000179104],"domain_scores_gemma":[0.9987144,0.0005909861,0.0001864836,0.00009650172,0.0003407229,0.00007085857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009354954,0.00001985551,0.001244789,0.00001552151,0.0002917627,0.000002092877,0.0001198163,0.9891724,0.0002817777,0.00296447,0.0002050466,0.005588903],"study_design_scores_gemma":[0.002072934,0.0001336061,0.01719545,0.0003075481,0.0001050687,0.0002207156,0.0003434114,0.9647022,0.000195097,0.00003369497,0.01450442,0.000185854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2907941,0.001033849,0.7022687,0.0003426594,0.004832611,0.0004151927,0.0001122622,0.0001642437,0.00003640672],"genre_scores_gemma":[0.9976547,0.00007637862,0.001409739,0.000005169655,0.0007817167,0.00003132962,0.000008916769,0.00002120598,0.00001086624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7068606,"threshold_uncertainty_score":0.4115213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01226791066436055,"score_gpt":0.2237096172503506,"score_spread":0.21144170658599,"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."}}