{"id":"W4381744613","doi":"10.4050/f-0079-2023-18175","title":"Reliability Prediction with No Observed Field Failure but with Known Design Lives","year":2023,"lang":"en","type":"article","venue":"","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Mean time between failures; Reliability (semiconductor); Reliability engineering; Component (thermodynamics); Failure rate; Hazard; Field (mathematics); Exponential distribution; Reliability theory; Computer science; Function (biology); Engineering; Statistics; Mathematics","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":[0.0007847882,0.0008095565,0.0004784904,0.0004343174,0.000145062,0.0003657011,0.000624008,0.0005680139,0.0009668837],"category_scores_gemma":[0.002692429,0.0002776411,0.0003236191,0.0002045738,0.0002892397,0.0007501041,0.0002252496,0.0006423655,0.0004301798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000378258,"about_ca_system_score_gemma":0.0005256177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003327446,"about_ca_topic_score_gemma":0.004027419,"domain_scores_codex":[0.9996548,0.0000604537,0.00001650416,0.0001186692,0.0001049179,0.00004482404],"domain_scores_gemma":[0.9983875,0.0007026877,0.0003084383,0.0002833215,0.0002539135,0.00006424567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001450273,0.00009990383,0.01359582,0.00009014255,0.00002588619,0.0001238785,0.0000527891,0.9562192,0.006041202,0.0008106508,0.00120479,0.02159067],"study_design_scores_gemma":[0.00001217727,0.0002161426,0.010923,0.00001482737,0.00002030703,0.00006171199,0.00002256456,0.9797283,0.006644692,0.001531849,0.0008052228,0.0000191902],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7814263,0.0003227503,0.2098091,0.0002297063,0.00003706219,0.00008630894,0.001319122,0.0009176795,0.005852014],"genre_scores_gemma":[0.9855823,0.0000672049,0.01216335,0.00001960089,0.000008580243,0.00003440077,0.0007466399,0.00002801434,0.001350008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003327446,"threshold_uncertainty_score":0.006616175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342259728374709,"score_gpt":0.1785024111292797,"score_spread":0.1650798138455326,"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."}}