{"id":"W1570912118","doi":"10.1109/apec.2015.7104387","title":"A configurable power management IC for low-volume dc-dc converter applications with high frequency current programmed mode control","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Converters; Inductor; Electronic engineering; Computer science; Capacitor; Electrical engineering; Power management; CMOS; Voltage; Power (physics); Engineering; Physics","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":[0.00008522008,0.0003075383,0.0003157106,0.0001001701,0.00005477136,0.00005934747,0.0002527568,0.00006448648,0.0001230782],"category_scores_gemma":[0.000004966081,0.0002667174,0.00006950865,0.0001821738,0.00006641795,0.0002502081,0.00001869981,0.0001370959,0.0002169009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000224092,"about_ca_system_score_gemma":0.00003836973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003570085,"about_ca_topic_score_gemma":0.00003266376,"domain_scores_codex":[0.9984861,0.00001228886,0.0003151709,0.0003791102,0.0002486309,0.0005586792],"domain_scores_gemma":[0.9989469,0.00002990118,0.00005416047,0.0005163063,0.0001799305,0.0002728193],"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":[0.000463792,0.0009803892,0.002140844,0.0016944,0.001805127,0.00003256354,0.000997475,0.01321045,0.002674712,0.1174357,0.02740189,0.8311627],"study_design_scores_gemma":[0.01559531,0.0003969379,0.0003562267,0.0001439939,0.0003382797,0.000015365,0.0006169782,0.8023154,0.000861209,0.007199673,0.1705604,0.001600143],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008717718,0.0002554006,0.9906272,0.0002397291,0.0002930367,0.003408229,0.00005429288,0.0007210553,0.003529296],"genre_scores_gemma":[0.9769071,0.00001712985,0.01654478,0.0001781116,0.00004981863,0.00507517,0.00008569012,0.00008502713,0.00105712],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9760354,"threshold_uncertainty_score":0.9999785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008264826794304767,"score_gpt":0.2255499373009556,"score_spread":0.2172851105066508,"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."}}