{"id":"W4387502350","doi":"10.1016/j.ress.2023.109722","title":"Flexible modelling of a bivariate degradation process with a shared frailty and an application to fatigue crack data","year":2023,"lang":"en","type":"article","venue":"Reliability Engineering & System Safety","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Bivariate analysis; Reliability (semiconductor); Monte Carlo method; Gamma process; Degradation (telecommunications); Computer science; Process (computing); Reliability engineering; Joint probability distribution; Function (biology); Engineering; Mathematics; Statistics; Machine learning","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":[0.003833623,0.0008827149,0.001806081,0.0009728659,0.0005610219,0.001779469,0.002274588,0.002954093,0.001842099],"category_scores_gemma":[0.01116804,0.0009559504,0.001800729,0.001418478,0.001521818,0.002361397,0.001398191,0.002447186,0.0002641829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009923999,"about_ca_system_score_gemma":0.001052054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02285396,"about_ca_topic_score_gemma":0.01157009,"domain_scores_codex":[0.9994358,0.0002039646,0.00003835354,0.0001293748,0.00007519872,0.0001172336],"domain_scores_gemma":[0.9954286,0.003030375,0.0004671353,0.0003729574,0.0004923714,0.0002085605],"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":[0.00003391108,0.00002206834,0.0009302312,0.00002449045,0.00002402519,0.0000970396,0.00005061316,0.9884877,0.0005249087,0.007712328,0.0001583594,0.001934326],"study_design_scores_gemma":[0.00000189902,0.000003613638,0.0001525007,0.000002044978,0.000003221844,0.000008912083,0.000003538021,0.9986456,0.00003507976,0.00110054,0.00003873973,0.000004236989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1997433,0.0006566382,0.7962692,0.0005849634,0.00009597202,0.00006675436,0.0004574959,0.0003515271,0.001774087],"genre_scores_gemma":[0.9712683,0.000414479,0.02397562,0.00007536679,0.00005397823,0.00007574393,0.0002800013,0.0001009637,0.00375563],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02285396,"threshold_uncertainty_score":0.04544187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03778506669141962,"score_gpt":0.2613551994014207,"score_spread":0.2235701327100011,"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."}}