{"id":"W2615595751","doi":"10.1049/iet-epa.2017.0072","title":"Optimisation‐based procedure for characterising switched reluctance motors","year":2017,"lang":"en","type":"article","venue":"IET Electric Power Applications","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Switched reluctance motor; Control theory (sociology); Reluctance motor; Control engineering; Computer science; Automotive engineering; Engineering; Mechanical engineering; Rotor (electric); Artificial intelligence; Control (management)","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":[0.0008266218,0.001106393,0.0007634843,0.0009968992,0.0003268437,0.00070038,0.0005549404,0.0007113649,0.00262702],"category_scores_gemma":[0.002411052,0.0004626526,0.0007454608,0.0006090074,0.0004439191,0.0005148263,0.0004644959,0.0006975453,0.0006826193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004059944,"about_ca_system_score_gemma":0.0004956131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000888926,"about_ca_topic_score_gemma":0.0008083493,"domain_scores_codex":[0.9992257,0.0002516486,0.00005355144,0.00009767573,0.0003251817,0.0000461534],"domain_scores_gemma":[0.9991755,0.0005292151,0.00009378214,0.00005164183,0.0001395488,0.00001025548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001852681,0.00008033131,0.0008003225,0.000565034,0.00006427271,0.0001772962,0.0002252979,0.759957,0.09264497,0.0146666,0.0007535745,0.1298799],"study_design_scores_gemma":[0.00003606719,0.0002213618,0.001171437,0.00005256896,0.00002697857,0.0001680964,0.00005405756,0.9426469,0.04190806,0.005752091,0.007912818,0.00004952669],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02155495,0.0002095389,0.970095,0.00003273516,0.00001410676,0.0001451246,0.0001066296,0.0003304399,0.007511473],"genre_scores_gemma":[0.4123331,0.0003168892,0.5818587,0.0000298656,0.00001279415,0.0006163204,0.0003787994,0.0002574907,0.004196081],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00262702,"threshold_uncertainty_score":0.008788228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111881351189948,"score_gpt":0.2441585148594029,"score_spread":0.2330397013475034,"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."}}