{"id":"W2965203134","doi":"10.1109/iemdc.2019.8785189","title":"Induction Machine Efficiency Evaluation Using the Finite Element Analysis Software and a New Mechanical Loss Formula","year":2019,"lang":"en","type":"article","venue":"","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Finite element method; Computer science; Software; Reliability engineering; Structural engineering; Engineering; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006106776,0.00006831225,0.0000948497,0.00004200394,0.0001437143,0.00007632939,0.0001143889,0.00002788427,0.004140982],"category_scores_gemma":[0.00004909383,0.00003908487,0.00003451116,0.0002870154,0.00002096396,0.00007988659,0.0000834825,0.00003991023,0.00003971842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002875799,"about_ca_system_score_gemma":0.00004658977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006970965,"about_ca_topic_score_gemma":0.00009574377,"domain_scores_codex":[0.9991747,0.00004601835,0.0001719755,0.0002091766,0.0002726043,0.0001255136],"domain_scores_gemma":[0.9995368,0.00004072098,0.00006371842,0.0002566335,0.00006067506,0.00004149993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006321423,0.0002106891,0.00361228,0.00005002403,0.0001160456,3.190252e-7,0.001124239,0.09019963,0.7829636,0.01434917,0.0002570831,0.1070536],"study_design_scores_gemma":[0.0003171598,0.0000718154,0.001384415,0.000004735159,0.0003275695,0.000002762587,0.0001314389,0.9781471,0.01711221,0.001576215,0.0008181765,0.0001063921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6906526,0.0000852392,0.3082532,0.0004672862,0.0000484726,0.0003560156,0.000003343157,0.00002118533,0.0001126284],"genre_scores_gemma":[0.9901422,0.000008080399,0.009303429,0.0001312794,0.0000300348,0.00001804474,0.000007456483,0.000003832709,0.000355666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8879475,"threshold_uncertainty_score":0.9967694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04414937031609222,"score_gpt":0.2938211047859884,"score_spread":0.2496717344698962,"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."}}