{"id":"W2809886006","doi":"10.1109/tr.2018.2846649","title":"Reliability Modeling and Analysis of Load-Sharing Systems With Continuously Degrading Components","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Reliability","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Reliability engineering; Reliability (semiconductor); Reliability theory; Computer science; Load sharing; Distributed computing; Engineering; Failure rate","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":[0.00118181,0.000883287,0.0007005562,0.0006897969,0.0003199858,0.0006375597,0.0008230437,0.0006791558,0.0006111711],"category_scores_gemma":[0.002570472,0.0002877435,0.0006077054,0.0005481105,0.0006077199,0.0008896595,0.0005294785,0.0005606167,0.0001049846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008073743,"about_ca_system_score_gemma":0.0006579373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007398481,"about_ca_topic_score_gemma":0.003047196,"domain_scores_codex":[0.999556,0.0001471136,0.00002077728,0.00007513822,0.0001432409,0.00005772646],"domain_scores_gemma":[0.9991127,0.0004622597,0.0002014786,0.0000669069,0.0001318815,0.00002483873],"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":[0.00001372686,0.000006577998,0.0004013908,0.00001371736,0.000007999863,0.00003524606,0.00003813196,0.9934145,0.001295854,0.001837187,0.00005500352,0.002880581],"study_design_scores_gemma":[4.47866e-7,0.000005939762,0.0001780539,8.180444e-7,0.000002255621,0.000007979366,0.000004628041,0.9989198,0.000119663,0.0007270495,0.00003185965,0.00000151476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1674289,0.000947489,0.8292169,0.0002300776,0.00001775456,0.00003881941,0.0000810552,0.0002201036,0.00181882],"genre_scores_gemma":[0.9882438,0.0002900969,0.01036631,0.00001151486,0.00001922108,0.00003012197,0.0000471281,0.00002153997,0.0009702283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007398481,"threshold_uncertainty_score":0.01471084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348183206013888,"score_gpt":0.2141329352259925,"score_spread":0.2006511031658537,"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."}}