{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009476597,0.0006353895,0.0006863255,0.002011625,0.0002518157,0.0004695059,0.0006717534,0.0004550873,0.0016244],"category_scores_gemma":[0.001594655,0.0002735359,0.0005032624,0.00123878,0.0003340846,0.0009672351,0.0003490743,0.0003737568,0.0005188311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003608617,"about_ca_system_score_gemma":0.0002514604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005512389,"about_ca_topic_score_gemma":0.0007308731,"domain_scores_codex":[0.999339,0.00009096333,0.00006584523,0.00006483366,0.0004089033,0.00003041545],"domain_scores_gemma":[0.9991339,0.0003696804,0.00008144735,0.0001260565,0.0002759688,0.00001295356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003763239,0.0003304337,0.01163046,0.0007649017,0.0001066763,0.000289671,0.000425764,0.2699782,0.2488414,0.01513012,0.003061983,0.4490641],"study_design_scores_gemma":[0.00001987477,0.0001885002,0.005039027,0.00001906534,0.00002535874,0.0001548949,0.00004524203,0.9197499,0.06930129,0.001119657,0.00429752,0.0000397264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1388803,0.0003267088,0.8536735,0.00006970801,0.00004910431,0.0001012393,0.0002042163,0.001772679,0.004922556],"genre_scores_gemma":[0.6703709,0.000326691,0.3250628,0.00001996419,0.00001484448,0.0002559143,0.0004077089,0.0002479881,0.003293117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002011625,"threshold_uncertainty_score":0.005434155,"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."}}