{"id":"W2803733717","doi":"10.1109/tia.2018.2836975","title":"Fabrication and Assembly Method for Synchronous Reluctance Machines","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetic reluctance; Fabrication; Synchronous motor; Reluctance motor; Computer science; Control engineering; Automotive engineering; Electrical engineering; Engineering; Switched reluctance motor; Magnet","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":[0.0001051121,0.0001328774,0.000129446,0.000135073,0.0002821922,0.00003198378,0.0001069625,0.0002120918,0.00004790468],"category_scores_gemma":[0.00000345055,0.0001418624,0.00005423261,0.0005034221,0.00004150146,0.00008420741,3.533401e-7,0.0002808854,0.00002711351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006122379,"about_ca_system_score_gemma":0.00001820763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001626252,"about_ca_topic_score_gemma":0.00001645245,"domain_scores_codex":[0.9993169,0.00001797917,0.0001838654,0.0002325981,0.00007796894,0.0001706441],"domain_scores_gemma":[0.999392,0.0001296676,0.00003285214,0.0002694806,0.00009535263,0.00008058837],"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":[0.00001176428,0.0001033113,0.00002047784,0.00005007181,0.0001563173,1.543562e-7,0.0001077335,0.009412871,0.04251063,0.0008755011,0.002036138,0.944715],"study_design_scores_gemma":[0.0004047808,0.0001303466,0.0002531663,0.00002174585,0.0002395096,0.00001687571,0.00002811768,0.8779618,0.0963662,0.001250875,0.02291905,0.0004075936],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001998253,0.00007474953,0.995957,0.0001953182,0.00007987145,0.0004526991,0.00004903347,0.0002787789,0.0009142698],"genre_scores_gemma":[0.8815954,0.00008106492,0.114746,0.0001184845,0.0003485623,0.002121382,0.000009663481,0.00004621564,0.0009332415],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9443074,"threshold_uncertainty_score":0.5784979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01414133140126068,"score_gpt":0.273137918649601,"score_spread":0.2589965872483403,"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."}}