{"id":"W2036713309","doi":"10.1109/tec.2012.2187902","title":"Multistress Aging of Stator Bars in a Three-Phase Model Stator Under Load Cycling Conditions","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"Hydro-Québec","keywords":"Stator; Temperature cycling; Bar (unit); Materials science; Mechanical load; Service life; Structural engineering; Cycling; Phase (matter); Control theory (sociology); Engineering; Electrical engineering; Thermal; Composite material; Computer science; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000210136,0.0001599611,0.0002059437,0.0002583663,0.0001659031,0.00001795056,0.0001240138,0.00008520517,0.0005404009],"category_scores_gemma":[0.000006345103,0.0001644664,0.00007235575,0.0002949649,0.00007109864,0.0004729199,0.000002314547,0.0001203008,0.00003993195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002660009,"about_ca_system_score_gemma":0.0001449553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006365706,"about_ca_topic_score_gemma":0.0001782601,"domain_scores_codex":[0.9986519,0.00006721758,0.0003592425,0.0002353994,0.000330746,0.0003554788],"domain_scores_gemma":[0.9992746,0.0001243979,0.0001195316,0.0002216136,0.0000865302,0.0001733934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001590033,0.0008814624,0.00005793043,0.00002584199,0.00001653756,0.000003214332,0.0007219855,0.3838791,0.6115182,0.0015174,0.00004080823,0.001178521],"study_design_scores_gemma":[0.002570053,0.0000716124,0.0001107793,0.00005368457,0.0000311097,0.000002223032,0.0002415068,0.3670115,0.6291912,0.0003800279,0.0001020994,0.0002342406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4989526,0.00003080528,0.5003476,0.00002794435,0.0003291349,0.00005860582,0.00008920407,0.00004310936,0.0001210383],"genre_scores_gemma":[0.9984906,0.00003227797,0.001080058,0.0001555395,0.00002195993,0.00002391314,0.00001145747,0.00001923064,0.0001649223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4995381,"threshold_uncertainty_score":0.6706746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02285019630480278,"score_gpt":0.2808095259899474,"score_spread":0.2579593296851446,"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."}}