{"id":"W2124019770","doi":"10.1109/tr.2006.874916","title":"Performance Evaluation of Generalized Multi-State&lt;tex&gt;$k$&lt;/tex&gt;-Out-of-&lt;tex&gt;$n$&lt;/tex&gt;Systems","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Reliability","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"","keywords":"State (computer science); Mathematics; Monotonic function; State vector; Discrete mathematics; Algorithm; Applied mathematics; Mathematical analysis; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009592249,0.0006224384,0.000567023,0.0003415862,0.0003489576,0.0006120399,0.0006802518,0.0004447647,0.001467169],"category_scores_gemma":[0.001518925,0.0001066271,0.000403312,0.000310195,0.0004040252,0.0006834919,0.0006082229,0.0003653207,0.0001545737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009187773,"about_ca_system_score_gemma":0.0005172712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007167212,"about_ca_topic_score_gemma":0.005314841,"domain_scores_codex":[0.9995583,0.0001711079,0.00002185205,0.00007309841,0.0001051143,0.00007056283],"domain_scores_gemma":[0.999202,0.0003506145,0.00009249181,0.0001156396,0.0002041093,0.00003527259],"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":[0.0001118615,0.00002417277,0.0008957461,0.000039374,0.00001988254,0.0000411146,0.000035024,0.9734441,0.003423994,0.002686424,0.0002627491,0.01901539],"study_design_scores_gemma":[0.000001925084,0.00003355939,0.0001950788,0.000001255462,0.000003396717,0.00000533798,0.000005660243,0.9987372,0.0006134713,0.0003500716,0.00005077548,0.000002287804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5870001,0.0003934921,0.402709,0.000157883,0.00003368557,0.00008645424,0.0001225483,0.0008284388,0.00866841],"genre_scores_gemma":[0.9903847,0.00004006525,0.009148668,0.00000822999,0.000002800957,0.00001424284,0.00005838378,0.00001738158,0.0003254933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007167212,"threshold_uncertainty_score":0.01425099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0206599683264571,"score_gpt":0.2454927015663153,"score_spread":0.2248327332398582,"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."}}