{"id":"W3214014647","doi":"10.1109/iecon48115.2021.9589980","title":"Design Criteria for EV Drivetrain","year":2021,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Drivetrain; Flux linkage; Torque; MATLAB; Computer science; Electric machine; Process (computing); Sizing; Engineering; Automotive engineering; Voltage; Control engineering; Electrical engineering; Induction motor; Direct torque control; Stator","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008550775,0.00006080252,0.00009267294,0.00003512747,0.00002231904,0.00002739478,0.00004438806,0.00003260194,0.0006903312],"category_scores_gemma":[0.00002283539,0.0000586958,0.00005730119,0.0001704619,0.00000331891,0.00003294835,0.000001426495,0.0000296297,0.00002195333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001631155,"about_ca_system_score_gemma":0.00001275265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001100853,"about_ca_topic_score_gemma":0.000002041744,"domain_scores_codex":[0.9996268,0.0000153427,0.00008465033,0.00008801135,0.00004495952,0.0001401959],"domain_scores_gemma":[0.9997556,0.00007368803,0.000004057922,0.00009619537,0.00003360049,0.00003691529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002916943,0.00001637026,0.00001398969,0.00004003463,0.0001192267,0.00001487792,0.00008786767,0.001756479,0.8690647,0.001428989,0.06596767,0.06148681],"study_design_scores_gemma":[0.0002334896,0.00002444243,0.00003912334,0.000005556069,0.00003649627,0.000005390097,0.00001273491,0.6453078,0.34239,0.001466613,0.01031466,0.0001637146],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008109999,0.0002637401,0.993136,0.00007020705,0.00006930558,0.00006191347,0.000001508034,0.0001724924,0.005413866],"genre_scores_gemma":[0.49057,0.0001115145,0.4940304,0.0003249257,0.0002297167,0.00007813961,0.00002342494,0.0000512048,0.0145807],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6435513,"threshold_uncertainty_score":0.7558643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02883919036433325,"score_gpt":0.2514803307435903,"score_spread":0.2226411403792571,"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."}}