{"id":"W2068147352","doi":"10.1115/detc2010-28438","title":"APU FMEA Validation and Its Application to Fault Identification","year":2010,"lang":"en","type":"article","venue":"","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Failure mode and effects analysis; Reliability engineering; Computer science; Identification (biology); Process (computing); Fault (geology); Data mining; Root cause; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005449285,0.0009569538,0.0008181082,0.004155346,0.0007516018,0.001031762,0.001307027,0.001164077,0.001508605],"category_scores_gemma":[0.03226257,0.0003729688,0.0007516673,0.002391817,0.0008023829,0.00156448,0.0009913964,0.001010625,0.0004448015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005829622,"about_ca_system_score_gemma":0.0008034399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002076689,"about_ca_topic_score_gemma":0.0008823284,"domain_scores_codex":[0.9957321,0.001576676,0.0002986947,0.0005428774,0.001686817,0.0001628564],"domain_scores_gemma":[0.9800852,0.01198375,0.001422124,0.003168758,0.003230936,0.0001091646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004201971,0.0002177456,0.008460246,0.0002876137,0.000124345,0.0003114855,0.0003542634,0.1475666,0.03472964,0.0121656,0.001529542,0.7938327],"study_design_scores_gemma":[0.00003467998,0.0003124811,0.005222171,0.00010345,0.00004497524,0.0006203852,0.00007524275,0.9188357,0.05552289,0.01185962,0.007305246,0.00006309857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01698496,0.0002393933,0.9795988,0.00007331105,0.00003225405,0.00006025516,0.0001040818,0.001720248,0.001186692],"genre_scores_gemma":[0.3909081,0.0002513784,0.6069171,0.00008105043,0.00003629608,0.0002144672,0.0003923066,0.000236545,0.000962859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005449285,"threshold_uncertainty_score":0.02881891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01414492855725464,"score_gpt":0.3041570449297523,"score_spread":0.2900121163724976,"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."}}