{"id":"W2238160049","doi":"10.1109/ias.1992.244303","title":"A low ripple power supply for high current magnet load","year":2003,"lang":"en","type":"article","venue":"","topic":"Superconducting Materials and Applications","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ripple; Magnet; Regulator; Linear regulator; Switched-mode power supply; Control theory (sociology); Power (physics); Voltage regulator; Harmonic; Electrical engineering; Voltage; Computer science; Automotive engineering; Engineering; Physics; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002284189,0.0002630105,0.0003236623,0.0004375377,0.0005978586,0.0009683809,0.001111535,0.0005917588,0.007544806],"category_scores_gemma":[0.0003865718,0.0002086186,0.0002223106,0.0005188994,0.0003289673,0.000858595,0.0004144771,0.0005323802,0.003491657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003979467,"about_ca_system_score_gemma":0.0003946588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005269311,"about_ca_topic_score_gemma":0.0007376184,"domain_scores_codex":[0.9996381,0.00005381606,0.00001724016,0.00006407525,0.0001995627,0.00002714374],"domain_scores_gemma":[0.9997463,0.00004900323,0.00002356658,0.00005215104,0.0001100373,0.00001902721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001091012,0.0002287075,0.001919706,0.0005831647,0.00006625143,0.0008877972,0.0005482344,0.008548369,0.4699943,0.03917667,0.03161416,0.4453417],"study_design_scores_gemma":[0.0004455629,0.002084828,0.007244981,0.0001345415,0.0002109153,0.004523152,0.0002515632,0.2119441,0.5192382,0.02208402,0.2316695,0.0001687245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1146855,0.0007488468,0.7978313,0.001268959,0.0004511503,0.0001817599,0.0003409084,0.01257698,0.07191464],"genre_scores_gemma":[0.8682352,0.0003471413,0.08132896,0.0004723173,0.0004014341,0.00009951724,0.0004202265,0.0004228634,0.0482724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007544806,"threshold_uncertainty_score":0.02523994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199769594141446,"score_gpt":0.2252743969261913,"score_spread":0.2132767009847768,"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."}}