{"id":"W2740882100","doi":"10.1049/iet-est.2017.0029","title":"Hybridisation ratio for hybrid excitation synchronous motors in electric vehicles with enhanced performance","year":2017,"lang":"en","type":"article","venue":"IET Electrical Systems in Transportation","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Canada Research Chairs","keywords":"Drivetrain; Automotive engineering; Acceleration; Excitation; Synchronous motor; Control theory (sociology); Electric vehicle; Engineering; Power (physics); Computer science; Torque; Physics; Electrical engineering","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":[0.0003516234,0.0002128817,0.0003404637,0.0003855702,0.0001440812,0.0001000995,0.0001792189,0.00009342984,0.00000249013],"category_scores_gemma":[0.00003484474,0.0002091726,0.00005339782,0.0005208059,0.00001666717,0.0004867001,6.642963e-7,0.0001948037,0.000003294432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002856422,"about_ca_system_score_gemma":0.00005639427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003287037,"about_ca_topic_score_gemma":0.0004138294,"domain_scores_codex":[0.9984441,0.0000458155,0.0005404056,0.0003034408,0.0002620784,0.000404116],"domain_scores_gemma":[0.9993743,0.0001012364,0.0001621976,0.0002236133,0.00008263905,0.00005599069],"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":[0.0005254153,0.0002943641,0.09199323,0.001245905,0.0001935819,0.00004381082,0.001358885,0.4088081,0.2120775,0.00126045,0.0001427169,0.2820561],"study_design_scores_gemma":[0.001131865,0.0002486635,0.2924436,0.00009776159,0.00003493257,0.000002210592,0.00001134745,0.6837813,0.02187869,0.00007571848,0.00002165028,0.0002722568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8611043,0.0003453292,0.1373846,0.00001067234,0.00007870278,0.0008433576,0.000008393236,0.00009638583,0.0001282648],"genre_scores_gemma":[0.9986176,0.0002194576,0.000303509,0.000004937391,0.00008064656,0.0005820975,0.0001168616,0.00003912116,0.00003572297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2817838,"threshold_uncertainty_score":0.8529812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007570731936714585,"score_gpt":0.2078550208807723,"score_spread":0.2002842889440577,"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."}}