{"id":"W7164202619","doi":"10.4050/f-0079-2023-1320","title":"Quantitative Risk Assessment of Component Retirement Time Reduction","year":2023,"lang":"","type":"article","venue":"","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Airworthiness; Risk assessment; Component (thermodynamics); Service (business); Certification; Service life; Reliability (semiconductor)","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":[0.007335267,0.001423715,0.0007002471,0.002439369,0.0002631608,0.001406515,0.001120257,0.001171319,0.00273888],"category_scores_gemma":[0.01592958,0.0003619744,0.0008697149,0.001026993,0.0006185466,0.001382643,0.0010564,0.0008473263,0.0005485174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009877044,"about_ca_system_score_gemma":0.0008779496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001467636,"about_ca_topic_score_gemma":0.001004704,"domain_scores_codex":[0.9956676,0.001179335,0.0001797283,0.0004319483,0.002381442,0.0001599601],"domain_scores_gemma":[0.9902316,0.004839668,0.001668348,0.0007681531,0.002348452,0.0001437429],"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":[0.0004416709,0.0002332654,0.009239129,0.0004368748,0.0001848762,0.0001977539,0.0001714407,0.8412809,0.02243216,0.02027366,0.002269,0.1028393],"study_design_scores_gemma":[0.0000324761,0.0007772783,0.007510358,0.00006602916,0.0001125241,0.000229959,0.000106623,0.9544749,0.01175237,0.01996224,0.00487634,0.00009882634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09538247,0.001216241,0.8930791,0.0003625221,0.00009516854,0.0003046055,0.000763951,0.0006527558,0.008143069],"genre_scores_gemma":[0.8769182,0.0005348367,0.114706,0.0001153559,0.00005338575,0.0003978498,0.0008795689,0.0001171091,0.006277677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007335267,"threshold_uncertainty_score":0.03879303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02912475590383493,"score_gpt":0.2990235231142231,"score_spread":0.2698987672103881,"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."}}