{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000909952,0.00005405704,0.00005980261,0.00001648039,0.00005719209,0.00001150203,0.00004804397,0.00003641953,0.00006313414],"category_scores_gemma":[0.00003491448,0.00005027588,0.00002779097,0.00006204642,0.00002775544,0.00008666683,0.000007370555,0.00003382483,0.0000389449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000203547,"about_ca_system_score_gemma":0.0000059016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002390016,"about_ca_topic_score_gemma":0.00002324645,"domain_scores_codex":[0.9996714,0.000003966409,0.00008633827,0.00007735792,0.00003035646,0.0001306058],"domain_scores_gemma":[0.9997898,0.00002535594,0.00000759465,0.0001041458,0.00005140738,0.00002170773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002040228,0.00006694125,0.002962672,0.0008747006,0.0001849233,0.000002232459,0.003729102,0.6475202,0.01769781,0.02922011,0.1821127,0.1154246],"study_design_scores_gemma":[0.000562333,0.00005777442,0.002118734,0.00005839872,0.00001372106,0.000002185626,0.0001498144,0.4494518,0.01571717,0.00377654,0.5278412,0.0002502741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006968918,0.00007261842,0.9812783,0.001097877,0.0005844383,0.0002736351,0.00001591566,0.0003824703,0.009325855],"genre_scores_gemma":[0.9626364,0.00004844986,0.03633333,0.00009764775,0.0003284619,0.00002124739,0.00002314712,0.00002277593,0.0004885289],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9556675,"threshold_uncertainty_score":0.2050191,"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."}}