{"id":"W3096321907","doi":"10.3390/app10217591","title":"An Adaptive Bayesian Melding Method for Reliability Evaluation Via Limited Failure Data: An Application to the Servo Turret","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Fundamental Research Funds for the Central Universities; People's Government of Jilin Province; National Natural Science Foundation of China; Changchun Science and Technology Planning Project; National Science and Technology Major Project; McMaster University","keywords":"Computer science; Reliability engineering; Reliability (semiconductor); Robustness (evolution); Bayesian probability; Data mining; Resampling; Fuzzy logic; Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003793873,0.0008018814,0.001077882,0.001380885,0.0005323853,0.0007560433,0.001203731,0.001167261,0.001616412],"category_scores_gemma":[0.007091202,0.0004690742,0.0007651245,0.0008602631,0.0006409134,0.001163692,0.0008676461,0.001040487,0.0002409864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006961417,"about_ca_system_score_gemma":0.000864588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004979261,"about_ca_topic_score_gemma":0.004821308,"domain_scores_codex":[0.9988295,0.0005440681,0.00006226145,0.0002112421,0.0002985901,0.00005428294],"domain_scores_gemma":[0.9973202,0.00181034,0.0001582223,0.0001122173,0.000534698,0.00006434136],"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":[0.0002448552,0.0001001595,0.001524451,0.0001916858,0.00009664342,0.0002054976,0.0002689626,0.7877547,0.008963917,0.01672334,0.0008919208,0.1830338],"study_design_scores_gemma":[0.000004794274,0.00001960145,0.0001620852,0.000005367669,0.000006501486,0.00001243941,0.000007925868,0.997451,0.0005585343,0.001495313,0.0002671069,0.000009327329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007701391,0.00008932279,0.9915859,0.00005543206,0.000009994728,0.00002804069,0.00001545656,0.00008839268,0.0004260984],"genre_scores_gemma":[0.3158041,0.0002490102,0.6817521,0.00008713822,0.00005210163,0.0001815871,0.0001250147,0.00006041987,0.001688499],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004979261,"threshold_uncertainty_score":0.02006418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3464720569236783,"score_gpt":0.5029810246991901,"score_spread":0.1565089677755119,"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."}}