{"id":"W2344968456","doi":"10.1109/tec.2015.2503735","title":"Multirate EMTP-Type Induction Machine Models","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Emtp; Interfacing; Reactance; Computer science; Electric power system; Power (physics); Control engineering; Focus (optics); Voltage; Engineering; Electronic engineering; Control theory (sociology); Electrical engineering; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002777049,0.0007097689,0.0009641286,0.0006060702,0.0002529986,0.0009285145,0.002147079,0.0009280466,0.004752204],"category_scores_gemma":[0.0006173824,0.0003244649,0.0008268964,0.0006143212,0.0002582653,0.001258891,0.0006305901,0.001134226,0.001711803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003883176,"about_ca_system_score_gemma":0.0004968499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001909487,"about_ca_topic_score_gemma":0.00177324,"domain_scores_codex":[0.9997726,0.00004960677,0.00001706261,0.00003075616,0.0001058396,0.00002413407],"domain_scores_gemma":[0.999759,0.00004945334,0.00006051585,0.00005674245,0.0000558227,0.00001845851],"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":[0.00006529739,0.00004584407,0.0003646382,0.0001387256,0.00001535616,0.0001083113,0.0000557849,0.9548367,0.004883034,0.01997649,0.001104101,0.01840584],"study_design_scores_gemma":[0.000007640817,0.00002181905,0.0001100214,0.000009780855,0.000005193563,0.00003365529,0.000005673734,0.9944131,0.000968811,0.001601885,0.002815523,0.000006929444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03267459,0.000468977,0.9358821,0.0001467591,0.0001033854,0.0001343101,0.0009047962,0.001540126,0.02814491],"genre_scores_gemma":[0.8176402,0.001403527,0.1486484,0.00007997543,0.00007333683,0.00037631,0.001609883,0.0003452444,0.02982311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004752204,"threshold_uncertainty_score":0.01589763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01569108086965389,"score_gpt":0.1965928947148639,"score_spread":0.18090181384521,"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."}}