{"id":"W2905484791","doi":"10.1109/tpel.2018.2886209","title":"LCIs and PWM-VSIs for the Petroleum Industry: A Torque Oriented Evaluation for Torsional Analysis Purposes","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université du Québec à Chicoutimi","funders":"","keywords":"Pulse-width modulation; Harmonics; Engineering; Torque; Stator; Converters; Electronic engineering; Waveform; Electrical engineering; Voltage; Computer science; Control theory (sociology); Physics","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":[0.0002414178,0.0001681757,0.0001688928,0.0001639016,0.0002742159,0.00004360924,0.0001083158,0.0001626251,0.0002060571],"category_scores_gemma":[0.00000729902,0.0001380022,0.0001764813,0.0003013344,0.00005584124,0.0001072151,6.575835e-7,0.0002164555,0.000003398505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002023515,"about_ca_system_score_gemma":0.00007022922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001844374,"about_ca_topic_score_gemma":0.0003208162,"domain_scores_codex":[0.9990459,0.00002128485,0.0001831694,0.0002263653,0.0002024655,0.0003208105],"domain_scores_gemma":[0.9993423,0.0001780997,0.00003136134,0.0002214517,0.0001627634,0.0000640455],"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":[0.001563737,0.0005932663,0.0002378084,0.0001377314,0.0143952,8.079883e-7,0.004256176,0.2490984,0.01413763,0.001505859,0.02207154,0.6920019],"study_design_scores_gemma":[0.0007229671,0.0003051856,0.0001597986,0.000006721932,0.001017655,0.000001569072,0.0001170603,0.9661984,0.01143612,0.00008038343,0.01978339,0.0001706952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04661499,0.000254045,0.9514755,0.0002543361,0.0005681599,0.0005717065,0.0001179652,0.00007848856,0.00006480131],"genre_scores_gemma":[0.998531,0.0000608609,0.0004010843,0.0001778997,0.00005384657,0.0004980873,0.00001392968,0.00002906158,0.000234159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9519161,"threshold_uncertainty_score":0.5627568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01446767139648503,"score_gpt":0.2591258364035644,"score_spread":0.2446581650070794,"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."}}