{"id":"W2145385597","doi":"10.1109/dspws.2006.265483","title":"Developing a Non-Dyadic MRAS for Switching DC-AC Inverters","year":2006,"lang":"en","type":"article","venue":"","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MRAS; Scaling; Haar; Sampling (signal processing); Control theory (sociology); Inverter; Computer science; Function (biology); SIGNAL (programming language); Mathematics; Electronic engineering; Topology (electrical circuits); Engineering; Voltage; Artificial intelligence; Telecommunications; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00029683,0.0003731288,0.0003257481,0.0003542313,0.0002351302,0.0005071904,0.0005145069,0.0003628062,0.00259161],"category_scores_gemma":[0.0006122459,0.0001966394,0.0003902797,0.0003037355,0.0002533259,0.0004950452,0.0003049056,0.0004987505,0.0007497933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002837786,"about_ca_system_score_gemma":0.0001818365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002817494,"about_ca_topic_score_gemma":0.0004749342,"domain_scores_codex":[0.9997559,0.00005066747,0.00001671689,0.00004785804,0.00011548,0.00001340587],"domain_scores_gemma":[0.9998203,0.00005552189,0.00002342286,0.00003980003,0.00004978061,0.00001115437],"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":[0.0001754106,0.0000844837,0.0004369787,0.0003523333,0.00005379911,0.0001789689,0.0001774934,0.07056991,0.3797669,0.08502444,0.001571013,0.4616082],"study_design_scores_gemma":[0.0000334242,0.0003198911,0.0003990463,0.00002392425,0.00003679044,0.0002968785,0.00003338269,0.8666364,0.09844586,0.008507879,0.02524319,0.00002331599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007230531,0.0001305223,0.9897463,0.00003586996,0.00003485194,0.00003419649,0.0000178153,0.0002435931,0.002526208],"genre_scores_gemma":[0.262929,0.0002302284,0.7336164,0.00006169708,0.00005726856,0.00009483511,0.00007007302,0.0000872671,0.002853322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00259161,"threshold_uncertainty_score":0.008669794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0286452572102644,"score_gpt":0.2888292173671694,"score_spread":0.260183960156905,"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."}}