{"id":"W2570120775","doi":"10.1109/iecon.2016.7793064","title":"Power factor correction in modified bridgeless buck boost converter fed SRM drive","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Total harmonic distortion; Buck converter; Boost converter; Power factor; Control theory (sociology); Buck–boost converter; Switched reluctance motor; Inductor; Voltage; Computer science; Engineering; Electrical engineering; Control (management); Rotor (electric)","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":[],"consensus_categories":[],"category_scores_codex":[0.00003016468,0.0001930143,0.0002014924,0.0001189483,0.00002001157,0.00001805839,0.0001153169,0.0001031877,0.0007830008],"category_scores_gemma":[0.00002325529,0.0001485901,0.00005035079,0.0001156686,0.00003213934,0.0003204083,0.00002681876,0.0001196807,0.0004355593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002498209,"about_ca_system_score_gemma":0.00001199562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004347048,"about_ca_topic_score_gemma":0.000135349,"domain_scores_codex":[0.9990801,0.00001502277,0.0002221618,0.0002345564,0.0001254502,0.0003227653],"domain_scores_gemma":[0.9995286,0.00008672101,0.00002337364,0.000240377,0.0000338675,0.000086999],"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":[0.0001826688,0.00008488322,0.01371361,0.00004451129,0.0001202953,0.00004802137,0.001487098,0.0005908677,0.1745329,0.0006378149,0.01185803,0.7966992],"study_design_scores_gemma":[0.007259415,0.0002282172,0.1506237,0.0002943395,0.00002037136,0.00003998719,0.0006519268,0.7235782,0.09724946,0.0003776282,0.01753403,0.002142748],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2707881,0.00001773997,0.7182972,0.0001036636,0.002185252,0.0002270221,0.00001317137,0.0004976143,0.007870254],"genre_scores_gemma":[0.9956043,0.00001872393,0.0001019982,0.0001191813,0.00003394577,0.00002076011,0.000003155549,0.00004511169,0.00405283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7945565,"threshold_uncertainty_score":0.8573309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007822428371212204,"score_gpt":0.2047443400532977,"score_spread":0.1969219116820855,"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."}}