{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005902892,0.00004879971,0.00004453535,0.00002224623,0.00003912202,0.0000533681,0.00006309909,0.00002512616,0.00004604226],"category_scores_gemma":[0.000008503057,0.00004742316,0.000003401272,0.0000275116,0.000004556802,0.000296575,0.00001303386,0.00003508931,0.000003028445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001299883,"about_ca_system_score_gemma":0.000003750133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001801987,"about_ca_topic_score_gemma":8.48137e-7,"domain_scores_codex":[0.9997064,0.000004007834,0.0000700208,0.00009697963,0.00005060502,0.00007197438],"domain_scores_gemma":[0.999814,0.000003672533,0.00001022896,0.0001428719,0.00001028545,0.00001893211],"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":[0.000006717447,0.00001269917,0.0001230667,0.00007284019,0.000008439248,0.000001769703,0.0002422365,0.8544352,0.03983903,0.00168236,0.00155288,0.1020228],"study_design_scores_gemma":[0.0001036587,0.000006578696,0.0006441405,0.000014568,0.000005409078,0.000003190187,0.000005932443,0.9840676,0.01321943,0.000828093,0.001028496,0.00007285203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2610263,0.00009905866,0.7273288,0.0002618134,0.000152432,0.0001377048,0.00001101265,0.0002228145,0.01076007],"genre_scores_gemma":[0.9751722,0.00007993828,0.02455815,0.00004105489,0.0000483502,6.538272e-7,0.00005660027,0.000006194816,0.00003692457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7141458,"threshold_uncertainty_score":0.1933861,"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."}}