{"id":"W4237564985","doi":"10.1109/tr.2019.2954020","title":"IEEE Transactions on Reliability publication information","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Reliability","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Singapore Management University; Wuhan University; Universidade de São Paulo; Xidian University; Sichuan University; Universidad de Murcia; TU Graz, Internationale Beziehungen und Mobilitätsprogramme; University of Hong Kong; Northwestern Polytechnical University; Centre National de la Recherche Scientifique; Chinese Academy of Sciences; National University of Singapore; University of Alberta; Northwestern University; Arizona State University; Southern Methodist University","keywords":"Reliability theory; Reliability (semiconductor); Reliability engineering; Computer science; Engineering; Failure rate","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001567815,0.001329969,0.001255565,0.003017873,0.0007825042,0.002572261,0.001250841,0.001764071,0.3214423],"category_scores_gemma":[0.006050882,0.0005011098,0.0005522027,0.002482855,0.0004141183,0.002222951,0.001289394,0.00173204,0.1869849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008231857,"about_ca_system_score_gemma":0.001917306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001915275,"about_ca_topic_score_gemma":0.00287268,"domain_scores_codex":[0.9988135,0.0001425463,0.0001270227,0.0001282946,0.0007086015,0.00008010535],"domain_scores_gemma":[0.996447,0.0004382171,0.000218876,0.0006952854,0.00200646,0.0001941156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007274083,0.00006378008,0.0003970792,0.000408753,0.00002331627,0.00007690888,0.00003353757,0.001835586,0.001140291,0.02469853,0.7977493,0.1735002],"study_design_scores_gemma":[0.00002241235,0.00004945941,0.0006500035,0.0003034965,0.00002346616,0.0001946286,0.00002497105,0.003868185,0.0007153178,0.01348346,0.9806378,0.0000268938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003563103,0.02438687,0.1045658,0.01386001,0.02205692,0.0006630234,0.0345066,0.004563384,0.7918343],"genre_scores_gemma":[0.04601225,0.03208696,0.03521895,0.002379416,0.007236121,0.0005608694,0.05792429,0.001289104,0.817292],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6785578,"threshold_uncertainty_score":0.9678802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005725311708535436,"score_gpt":0.1968299807793905,"score_spread":0.191104669070855,"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."}}