{"id":"W2805954681","doi":"10.7939/r3610w108","title":"Reliability Study and Maintenance Decision Making of Wheel Temperature Detectors","year":2016,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Engineering Applied Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Detector; Computer science; Engineering; Electrical engineering; Physics; Power (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006407603,0.00008780287,0.0001540095,0.0001051699,0.00002710656,0.000005262854,0.0002028585,0.00006678107,0.00009138417],"category_scores_gemma":[0.00004688044,0.00007223,0.00003153888,0.0001575213,0.00007937406,0.0002914161,0.0001392023,0.0001017989,0.000003723547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000187093,"about_ca_system_score_gemma":0.00001360108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003278677,"about_ca_topic_score_gemma":0.00003119641,"domain_scores_codex":[0.9994861,0.00001653241,0.00009565345,0.0001490557,0.0001193309,0.0001332946],"domain_scores_gemma":[0.9993258,0.0003410754,0.00001951886,0.0002530882,0.00001731825,0.00004315773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001693035,0.0007487484,0.5675839,0.002018063,0.0006607485,0.0001624292,0.02410097,0.02021424,0.2693896,0.002185739,0.02597785,0.08526468],"study_design_scores_gemma":[0.005405566,0.0006799572,0.925453,0.002049214,0.00008133338,0.00001351408,0.005500117,0.009927008,0.03918402,0.001019583,0.00962368,0.001063025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974747,0.00004920391,0.0005537455,0.00004413736,0.00003895489,0.0001418233,0.00000433577,0.00006163306,0.001631512],"genre_scores_gemma":[0.9969667,0.00005287275,0.00250891,0.000001840495,0.000007369486,1.426701e-7,4.522244e-7,0.00001610491,0.0004456161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3578691,"threshold_uncertainty_score":0.2945454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003515896292070522,"score_gpt":0.1740973179304473,"score_spread":0.1705814216383768,"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."}}