{"id":"W2942091857","doi":"10.1109/tia.2019.2912799","title":"Adaptive Sliding Mode Based Loss-Free Resistor for Power-Factor Correction Application","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Ministry of Electronics and Information technology","keywords":"Power factor; Control theory (sociology); Resistor; Robustness (evolution); Harmonics; Electronic engineering; Emulation; Computer science; Converters; Electric power system; Power (physics); Engineering; Voltage; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006330424,0.0002842972,0.0002228705,0.0002391723,0.0002527763,0.0000294233,0.0003273527,0.0004490755,0.0001615294],"category_scores_gemma":[0.000005438788,0.0003496297,0.000146223,0.0004986771,0.00003902939,0.0002705585,0.000001480587,0.0007220046,0.0002238168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005498947,"about_ca_system_score_gemma":0.00006685181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001640703,"about_ca_topic_score_gemma":0.00002794807,"domain_scores_codex":[0.9986369,0.00001931463,0.0003413029,0.0004668615,0.0002070311,0.0003286007],"domain_scores_gemma":[0.9984217,0.0002795611,0.00008720329,0.000945139,0.0001217262,0.0001446492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002042256,0.0003072183,0.00007990718,0.0001092655,0.0001522762,3.87801e-7,0.000204769,0.8036205,0.04339726,0.001080658,0.002162116,0.1486815],"study_design_scores_gemma":[0.00123107,0.0001222449,0.0001748031,0.00005032218,0.00007008979,0.000004798987,0.0002221897,0.9274003,0.05027473,0.0004206848,0.01945159,0.0005772068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003810571,0.00001433888,0.991024,0.0001812798,0.0008449237,0.002115732,0.0004834446,0.000782924,0.0007428376],"genre_scores_gemma":[0.9882178,0.00000593205,0.005950171,0.00009246609,0.00008463681,0.004632768,0.00003187971,0.00009932433,0.0008850056],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9850738,"threshold_uncertainty_score":0.9998956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179416634322842,"score_gpt":0.2396254556090539,"score_spread":0.2278312892658255,"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."}}