{"id":"W2377893347","doi":"","title":"Discrete Control Modeling for Three-phase Voltage Source SVPWM Rectifier","year":2010,"lang":"en","type":"article","venue":"Jisuanji fangzhen","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"PWM rectifier; Decoupling (probability); Control theory (sociology); Rectifier (neural networks); Pulse-width modulation; Time domain; Computer science; Discrete time and continuous time; Small-signal model; Voltage source; Basis (linear algebra); Electronic engineering; Voltage; Engineering; Control engineering; Control (management); Mathematics; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004660836,0.000340381,0.0004900916,0.0001282415,0.0003082309,0.0001254753,0.000403946,0.0003540871,0.0003198447],"category_scores_gemma":[0.0001344014,0.0002741824,0.0003400497,0.0001633708,0.00005872074,0.0002052213,0.00005935459,0.0003102719,0.00007263992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000406433,"about_ca_system_score_gemma":0.0000643672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008577277,"about_ca_topic_score_gemma":0.01691052,"domain_scores_codex":[0.9979221,0.00003893181,0.0005048971,0.0005546727,0.0002857041,0.0006936587],"domain_scores_gemma":[0.9986006,0.0001393411,0.0001546917,0.0007018435,0.0001350546,0.0002684849],"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":[0.001462949,0.0006937546,0.001421714,0.0002484103,0.001214474,0.00005722804,0.001672972,0.2298951,0.3937794,0.1134973,0.01318312,0.2428736],"study_design_scores_gemma":[0.003433688,0.0001089493,0.00002414655,0.00002755114,0.00008060913,0.00001207414,0.00008426173,0.5262645,0.001509781,0.003866603,0.4641462,0.0004416694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1768657,0.0002960245,0.806577,0.0003747845,0.003229111,0.0005937411,0.000074228,0.0003816907,0.01160767],"genre_scores_gemma":[0.9840957,0.000004022672,0.000706707,0.0002390441,0.001773358,0.00023218,0.00006878644,0.000119186,0.01276099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.80723,"threshold_uncertainty_score":0.999971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605872823232242,"score_gpt":0.2757366393904699,"score_spread":0.2596779111581475,"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."}}