{"id":"W2793538941","doi":"10.3390/safety4010007","title":"Failure Rates for Aging Aircraft","year":2018,"lang":"en","type":"article","venue":"Safety","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Failure rate; Degradation (telecommunications); Accelerated aging; Reliability engineering; Aeronautics; Forensic engineering; Process (computing); Life span; Engineering; Environmental science; Computer science; Gerontology; Medicine; Telecommunications","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":[0.002306983,0.0004718955,0.0005424533,0.004681256,0.0003117387,0.0004736391,0.0008670982,0.0006199512,0.005994437],"category_scores_gemma":[0.0109191,0.0001606227,0.0007495211,0.001756904,0.0003433191,0.0007601014,0.0003333881,0.000550657,0.001669087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005239307,"about_ca_system_score_gemma":0.0002311921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0023707,"about_ca_topic_score_gemma":0.00182254,"domain_scores_codex":[0.9986369,0.0001835986,0.0001205172,0.0002686456,0.0006412512,0.0001490612],"domain_scores_gemma":[0.9888764,0.005910994,0.001890728,0.001015484,0.002078394,0.0002279369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001078504,0.0002213932,0.3148484,0.001325633,0.0005151277,0.0006920724,0.001299595,0.36167,0.0239522,0.01786435,0.007983748,0.2685489],"study_design_scores_gemma":[0.00005947576,0.002338382,0.5919578,0.0003267806,0.0003711957,0.005525794,0.0007632394,0.3038561,0.02977706,0.02373726,0.04080432,0.0004825963],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8950738,0.01074595,0.06564612,0.0002319351,0.0001795935,0.0001832541,0.01279502,0.0008205276,0.01432392],"genre_scores_gemma":[0.9819265,0.00144832,0.005357762,0.00002927815,0.00004977689,0.0001382764,0.005598619,0.00007181789,0.005379773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005994437,"threshold_uncertainty_score":0.02005339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005830413840286996,"score_gpt":0.2349215753038598,"score_spread":0.2290911614635728,"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."}}