{"id":"W2110739662","doi":"10.1109/apec.2009.4802666","title":"Self-Tuning Sensorless Digital Current-Mode Controller with Accurate Current Sharing for Multi-Phase DC-DC Converters","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Converters; Control theory (sociology); Estimator; Duty cycle; Inductor; Buck converter; Computer science; Current (fluid); Controller (irrigation); Voltage; Digital control; Phase (matter); Electronic engineering; Engineering; Physics; Electrical engineering; Mathematics","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":[0.00005948232,0.0005262871,0.0005244403,0.0001731009,0.0001221589,0.0002259021,0.0003166977,0.00007541617,0.00001491909],"category_scores_gemma":[0.00002338879,0.0004665593,0.0001591089,0.000191765,0.00003917159,0.00105904,0.00004277989,0.000327593,0.00003347334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001521561,"about_ca_system_score_gemma":0.00002517395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001061183,"about_ca_topic_score_gemma":0.000005600167,"domain_scores_codex":[0.997943,0.000009941454,0.0004661839,0.0005660074,0.0002213002,0.0007936099],"domain_scores_gemma":[0.9990692,0.00009335296,0.00009593567,0.0003649702,0.00009134948,0.0002852613],"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":[0.0003326586,0.0003787231,0.0004951656,0.0002755598,0.0002270485,0.00001613535,0.000797462,0.004362092,0.002344874,0.0009279986,0.0002997599,0.9895425],"study_design_scores_gemma":[0.01037364,0.0001340168,0.00006409123,0.0001357039,0.00006761438,0.00001212256,0.0001639069,0.9820351,0.0007264693,0.0001034329,0.005488398,0.0006954705],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03219139,0.000460789,0.9639389,0.00004945007,0.0006347022,0.00100394,0.00007391033,0.001390229,0.0002566791],"genre_scores_gemma":[0.9874039,0.00007419238,0.01192818,0.00007814754,0.0001340208,0.00008844484,0.00007319094,0.00009980713,0.0001201525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9888471,"threshold_uncertainty_score":0.9997786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02985000917866657,"score_gpt":0.3116178586778668,"score_spread":0.2817678494992002,"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."}}