{"id":"W1976956559","doi":"10.1142/s0218126613500230","title":"AN EFFICIENT CURRENT REGULATOR FOR MULTILEVEL VOLTAGE SOURCE CONVERTER BASED ON A SIMPLE ANALOG CONTROL CIRCUIT","year":2013,"lang":"en","type":"article","venue":"Journal of Circuits Systems and Computers","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Regulator; Voltage regulator; Converters; Low-dropout regulator; Control theory (sociology); Controller (irrigation); Engineering; Current (fluid); Computer science; Electronic engineering; Voltage; Dropout voltage; Control (management); Electrical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003258286,0.0002936356,0.0004478878,0.000447263,0.0003478528,0.0006730594,0.001445312,0.000529816,0.00382821],"category_scores_gemma":[0.0005530171,0.0001778626,0.0002921974,0.0003310327,0.0002619659,0.001004303,0.0003794122,0.0006826018,0.0009629944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003374797,"about_ca_system_score_gemma":0.0003956631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002819937,"about_ca_topic_score_gemma":0.0005201091,"domain_scores_codex":[0.9994358,0.00005580604,0.00002739506,0.0001008545,0.0003539506,0.00002608686],"domain_scores_gemma":[0.9996949,0.0000773889,0.00004470093,0.00003047446,0.0001372648,0.00001525426],"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":[0.0002115718,0.0001734652,0.0006829677,0.0007159743,0.00006096052,0.0003038268,0.0001952374,0.004393597,0.6126032,0.02069654,0.005278811,0.354684],"study_design_scores_gemma":[0.0003472902,0.003104273,0.003509233,0.0002542943,0.0003861797,0.003824299,0.0001216364,0.3283782,0.430833,0.008112391,0.2209312,0.000198155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02395102,0.00217443,0.9578558,0.0003419011,0.0004706289,0.0002585909,0.00008548293,0.002809232,0.01205289],"genre_scores_gemma":[0.7503788,0.001715031,0.2318896,0.0005752319,0.0008229238,0.0002644323,0.0001588928,0.0001363584,0.01405868],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00382821,"threshold_uncertainty_score":0.01280659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463481385134615,"score_gpt":0.2155750836496508,"score_spread":0.2009402697983046,"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."}}