{"id":"W2116201526","doi":"10.1109/ias.1988.25111","title":"A fast-response current controller for microprocessor-based SCR-DC motor drives","year":2003,"lang":"en","type":"article","venue":"Conference Record of the 1988 IEEE Industry Applications Society Annual Meeting","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"DC motor; Control theory (sociology); Microprocessor; Antiparallel (mathematics); Chopper; Digital control; Feed forward; Computer science; Digital signal processing; Digital signal processor; Thyristor drive; Controller (irrigation); Electrical engineering; AC motor; Engineering; Control engineering; Voltage; Physics; Control (management)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005468135,0.0003068366,0.0003571303,0.00004475583,0.0003094598,0.00003944873,0.0005758597,0.0003464676,0.00002035438],"category_scores_gemma":[0.0003026722,0.0002817388,0.0003375055,0.0003947098,0.0002461527,0.0001549751,0.00003360746,0.0007213987,0.000008157121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001578578,"about_ca_system_score_gemma":0.0002586028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005423386,"about_ca_topic_score_gemma":0.000003003168,"domain_scores_codex":[0.9983429,0.0001174641,0.0005236836,0.0003654367,0.0002031924,0.000447299],"domain_scores_gemma":[0.9979954,0.0006932123,0.0002715431,0.0004740856,0.0004444002,0.0001213496],"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":[0.0003261564,0.000322952,0.002269927,0.0009309125,0.0003309422,2.147223e-7,0.002558499,0.0204006,0.3855732,0.0008611882,0.004049645,0.5823758],"study_design_scores_gemma":[0.00464022,0.000187803,0.0007755354,0.001140882,0.0003137858,0.000007892959,0.0105278,0.5834941,0.1873527,0.002474515,0.2074001,0.001684688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1524098,0.0002911039,0.8440146,0.0004031516,0.000444367,0.001736684,0.0003399536,0.0002139071,0.0001464287],"genre_scores_gemma":[0.9808695,0.00003982924,0.01713325,0.00009993993,0.000122797,0.001451921,0.00000594664,0.00005683063,0.0002200004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8284596,"threshold_uncertainty_score":0.9999635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01947479373262839,"score_gpt":0.264855938860417,"score_spread":0.2453811451277886,"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."}}