{"id":"W2554045077","doi":"","title":"APU FMEA Validation Using Operation and Maintenance Data","year":2009,"lang":"en","type":"article","venue":"NPARC","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Failure mode and effects analysis; Reliability engineering; Documentation; Process (computing); Computer science; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006290472,0.00104714,0.0009617608,0.003357239,0.001357825,0.001400136,0.001582568,0.001386156,0.01727155],"category_scores_gemma":[0.02875543,0.0003590545,0.001157952,0.00155777,0.0005779144,0.001439233,0.000826911,0.0007649984,0.006156708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103537,"about_ca_system_score_gemma":0.001648181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007100428,"about_ca_topic_score_gemma":0.007455415,"domain_scores_codex":[0.9948559,0.001564553,0.0002778,0.0006639702,0.002366122,0.0002716991],"domain_scores_gemma":[0.9735972,0.006164306,0.0007157843,0.003527581,0.01576412,0.0002310762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002869734,0.001031408,0.02211736,0.001535139,0.0004706207,0.0006154549,0.0002945091,0.1752659,0.05124394,0.002969806,0.08314749,0.6584387],"study_design_scores_gemma":[0.0004333524,0.001184453,0.04080574,0.0002514182,0.0001830296,0.0003399038,0.0003279174,0.8116139,0.09058421,0.003093734,0.05103378,0.0001485431],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5866087,0.000796103,0.2820197,0.001224382,0.002217691,0.002147828,0.01743848,0.01719175,0.09035531],"genre_scores_gemma":[0.8387347,0.0001398413,0.1238414,0.0002720643,0.0001185431,0.0007315304,0.01654053,0.001890829,0.01773048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01727155,"threshold_uncertainty_score":0.05777907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02859036746103231,"score_gpt":0.2436569815497572,"score_spread":0.2150666140887249,"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."}}