{"id":"W2106610814","doi":"10.5539/mas.v5n6p232","title":"Reliability Assessment Based on Multivariate Degradation Measures and Competing Failure Analysis","year":2011,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multivariate statistics; Reliability (semiconductor); Reliability engineering; Computer science; Degradation (telecommunications); Dimensionality reduction; Multivariate analysis; Statistics; Mathematics; Artificial intelligence; Machine learning; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001010844,0.0001165659,0.0001450524,0.0001749824,0.0001855175,0.00006265373,0.0001614905,0.00004313736,0.00001456916],"category_scores_gemma":[0.00005769177,0.0001022878,0.00003062633,0.0006942807,0.0001830867,0.0001684051,0.00002661219,0.0001171632,0.000002298385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000122261,"about_ca_system_score_gemma":0.00003507725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003685261,"about_ca_topic_score_gemma":0.00002968991,"domain_scores_codex":[0.9989064,0.00002012569,0.0001734587,0.0003626923,0.0003237902,0.0002135439],"domain_scores_gemma":[0.9994388,0.00004465492,0.00003849759,0.0003202573,0.00008144453,0.00007631056],"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":[0.00001044458,0.00003774222,0.002209147,0.00001704667,0.00001083581,1.949423e-7,0.0005049969,0.9357446,0.05578401,0.001405116,0.000002544618,0.00427336],"study_design_scores_gemma":[0.0001377769,0.00001134168,0.04839745,0.000006163806,0.00003249404,8.601795e-8,0.00005594235,0.9468602,0.003472548,0.0009007285,0.000010394,0.0001148737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.104186,0.000002694466,0.8866758,0.00002494677,0.00003644107,0.0001860093,0.000002459394,0.0001416787,0.008744043],"genre_scores_gemma":[0.8998432,0.000002536611,0.1000789,0.000028779,0.000005027767,0.00002591686,0.000004753802,0.000007176999,0.000003789187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7956572,"threshold_uncertainty_score":0.4171175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01743615965233424,"score_gpt":0.2250372844619233,"score_spread":0.2076011248095891,"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."}}