{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003782948,0.0004212521,0.0006650336,0.001078781,0.0003255317,0.0009410917,0.000938154,0.0005940226,0.0006709922],"category_scores_gemma":[0.01673062,0.0004006168,0.0007353682,0.0005934307,0.00037059,0.0007516927,0.0003310797,0.0004111134,0.0001382629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00191382,"about_ca_system_score_gemma":0.001161755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03251151,"about_ca_topic_score_gemma":0.0268267,"domain_scores_codex":[0.9983694,0.0005411584,0.00009471852,0.000334702,0.0004858941,0.0001741182],"domain_scores_gemma":[0.9922197,0.004703575,0.0007364916,0.0004203185,0.001660799,0.0002591512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001186943,0.0004206358,0.5346493,0.0001683023,0.0004041943,0.0007131912,0.0006073772,0.322758,0.01586989,0.001555565,0.0006933326,0.1209734],"study_design_scores_gemma":[0.00002394947,0.0005722204,0.1301106,0.0000212741,0.00009514078,0.0001715445,0.0003576217,0.8584737,0.008475618,0.001060838,0.0005805081,0.00005703519],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780853,0.0001709879,0.02077402,0.0001199661,0.000008415951,0.00003978966,0.0001284386,0.0000567915,0.0006163399],"genre_scores_gemma":[0.9951366,0.00004302135,0.004402517,0.00000701434,0.000004006993,0.000008472698,0.0001263059,0.000005227255,0.0002669327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03251151,"threshold_uncertainty_score":0.06464452,"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."}}