{"id":"W3212571600","doi":"10.18280/jesa.540509","title":"RNA Identification Technique and RST Control of a Hybrid Indirect Matrix Converter with a Flying Capacitor Three Level Inverter in Power Active Filtering Application","year":2021,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Power Quality and Harmonics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Controller (irrigation); Computer science; Control theory (sociology); MATLAB; Capacitor; Inverter; Power electronics; Artificial neural network; Power (physics); Computation; AC power; Electronic engineering; Control engineering; Engineering; Control (management); Electrical engineering; Algorithm; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001153562,0.0001918905,0.0001444786,0.000149184,0.0001944316,0.0003275322,0.0002776958,0.0002692447,0.001279418],"category_scores_gemma":[0.0001684771,0.00007388858,0.0001756987,0.0001368497,0.0001741293,0.0002082926,0.0001269696,0.0002198393,0.0001311093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001937219,"about_ca_system_score_gemma":0.0001924056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00153029,"about_ca_topic_score_gemma":0.002377548,"domain_scores_codex":[0.9999276,0.00001094939,0.000004125482,0.00001696525,0.00003444972,0.000005868873],"domain_scores_gemma":[0.9999413,0.00002068965,0.00001083374,0.000007636855,0.00001683007,0.000002715712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001865966,0.00009142296,0.001174444,0.0003958943,0.00007513467,0.0004807035,0.0002740554,0.170728,0.4726039,0.02162068,0.001325048,0.3310441],"study_design_scores_gemma":[0.00002340685,0.0003166558,0.001979342,0.00002759771,0.0000390757,0.0003769194,0.00004147023,0.9264779,0.06223248,0.002124409,0.006343096,0.00001763919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06517588,0.0004169241,0.9246001,0.0001508859,0.00006259796,0.00005766068,0.0000288443,0.0004951068,0.009011948],"genre_scores_gemma":[0.9401138,0.0001759347,0.05604474,0.00003253057,0.00001691962,0.00004314255,0.00002145444,0.00001157612,0.003539975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00153029,"threshold_uncertainty_score":0.00428009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115620617479135,"score_gpt":0.2403157835103332,"score_spread":0.2191595773355419,"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."}}