{"id":"W2740218399","doi":"10.1139/tcsme-2015-0017","title":"EXPERIMENTAL VERIFICATION OF A PRACTICAL DIGITAL DRIVER WITH SWITCHED GAIN-TUNING FOR FIVE-PHASE STEPPING-MOTORS","year":2015,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Integrator; Feed forward; Control theory (sociology); Loop gain; Block (permutation group theory); Regulator; Computer science; Discretization; Phase (matter); Feedback loop; Loop (graph theory); Path (computing); Engineering; Control engineering; Voltage; Mathematics; Physics; Electrical engineering; Bandwidth (computing); Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001480872,0.0001713083,0.0002534984,0.00006770686,0.00007922847,0.00002416401,0.0001703704,0.0001329522,0.000004449327],"category_scores_gemma":[0.00008700984,0.000156876,0.0003413685,0.0002397844,0.00003715298,0.0001981274,0.00000282671,0.0001715605,3.000066e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004968508,"about_ca_system_score_gemma":0.0002361029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004569795,"about_ca_topic_score_gemma":0.000376962,"domain_scores_codex":[0.9990538,0.000005289003,0.0002757035,0.0001566735,0.0001872564,0.000321255],"domain_scores_gemma":[0.9991403,0.0001683082,0.00005896811,0.0002350314,0.0001260248,0.0002714284],"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":[0.0002596818,0.000196754,0.000005292778,0.0003431282,0.001259976,0.000001313837,0.002588647,0.6765642,0.31145,0.00465049,0.0006054493,0.002075069],"study_design_scores_gemma":[0.002414683,0.0003032533,0.000003945915,0.00004998054,0.0001261214,0.000008321527,0.0006859196,0.8887374,0.1064009,0.00002946625,0.001031849,0.0002080737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1045837,0.00006979874,0.893806,0.0001684138,0.000247367,0.0008713854,0.0001401847,0.00008860268,0.0000245821],"genre_scores_gemma":[0.977475,0.000001296324,0.02223673,0.00001543725,0.000038805,0.0001342736,0.00001060118,0.00005678267,0.00003102431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8728914,"threshold_uncertainty_score":0.6397217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02076917977590897,"score_gpt":0.243073984080751,"score_spread":0.2223048043048421,"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."}}