{"id":"W2059795097","doi":"10.1109/24.855543","title":"Generalized multi-state k-out-of-n:G systems","year":2000,"lang":"en","type":"article","venue":"IEEE Transactions on Reliability","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":176,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"State (computer science); Reliability (semiconductor); Component (thermodynamics); Mathematics; Binary number; Discrete mathematics; Reliability engineering; Computer science; Combinatorics; Algorithm; Physics; Engineering; Arithmetic; Thermodynamics","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":[0.0002674583,0.0001906216,0.0002834568,0.00006591358,0.0000733691,0.00002132411,0.0001289388,0.00011977,0.0003513118],"category_scores_gemma":[0.000007206202,0.00018084,0.000152552,0.0002118891,0.000100209,0.0001579274,2.370124e-7,0.0002202509,0.00009611647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001224626,"about_ca_system_score_gemma":0.00002077778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001340216,"about_ca_topic_score_gemma":0.00003347378,"domain_scores_codex":[0.9987548,0.00007966046,0.0004720466,0.0002683602,0.0001744849,0.0002506493],"domain_scores_gemma":[0.9991756,0.00007029526,0.00003048434,0.0005419559,0.00009249424,0.00008914252],"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":[0.00005263627,0.0001619431,0.0000109406,0.0001306356,0.00002389548,6.294694e-7,0.0002220327,0.9833447,0.001087415,0.000008781548,0.0001027208,0.01485371],"study_design_scores_gemma":[0.0008294461,0.00007343244,0.0002863058,0.00005751234,0.00003284498,0.000001842708,0.00002629421,0.9805744,0.01502204,0.00009505761,0.002731242,0.0002695586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2647012,0.00006047309,0.7312886,0.00003408841,0.00137255,0.0004868958,0.00008323519,0.0004164684,0.001556494],"genre_scores_gemma":[0.9923863,0.0006153701,0.005515932,0.00001778889,0.00001786844,0.00009319514,0.000004341437,0.00002757559,0.00132166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.727685,"threshold_uncertainty_score":0.737444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491835992754301,"score_gpt":0.2291471955575747,"score_spread":0.2142288356300317,"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."}}