{"id":"W3172720700","doi":"10.1002/qre.2867","title":"A multi‐state <i>k</i>‐out‐of‐<i>n</i>:F balanced system with a rebalancing mechanism","year":2021,"lang":"en","type":"article","venue":"Quality and Reliability Engineering International","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Reliability (semiconductor); Component (thermodynamics); State (computer science); Markov chain; Markov process; Reliability engineering; Computer science; Process (computing); Product (mathematics); Mathematical optimization; Mechanism (biology); Engineering; Mathematics; Algorithm; Power (physics); Statistics; Physics","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":[0.0004905694,0.0001876623,0.0003070261,0.00005821658,0.00003529725,0.00003995009,0.0001210043,0.00009449666,0.00001238115],"category_scores_gemma":[0.0002150007,0.0001739501,0.00006943017,0.0001472646,0.00004157775,0.0001816234,0.00004581074,0.0002017361,0.000002796263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001403568,"about_ca_system_score_gemma":0.00003654121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002714093,"about_ca_topic_score_gemma":0.00001594667,"domain_scores_codex":[0.9986979,0.00004019832,0.0004879088,0.0003019419,0.000261991,0.0002100955],"domain_scores_gemma":[0.9991454,0.0001232911,0.00006775947,0.0002882208,0.0002926319,0.00008264346],"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":[0.00005083487,0.00008282578,0.001485799,0.001636596,0.0001293322,0.00001538859,0.0008556506,0.9383449,0.04601688,0.01098973,0.00002656598,0.0003654663],"study_design_scores_gemma":[0.001021629,0.00003565375,0.008136995,0.0004717646,0.00002064249,0.00003608554,0.0003027737,0.9617961,0.0269657,0.0002154938,0.0006251839,0.0003720015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.299544,0.0001097664,0.6978804,0.0001727082,0.00105176,0.0001758004,0.0000658319,0.0003954855,0.0006043017],"genre_scores_gemma":[0.9483955,0.0001428825,0.05121186,0.00002515247,0.00004630124,0.00002729487,0.0000346494,0.00002737433,0.00008896974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6488515,"threshold_uncertainty_score":0.7093479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008388500919382256,"score_gpt":0.2184643798628867,"score_spread":0.2100758789435045,"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."}}