{"id":"W2331475061","doi":"10.2316/journal.203.2016.1.203-6167","title":"MULTICHANNEL STEP UP POWER CONVERTER WITH MAGNETICALLY UNCOUPLED FILTERS","year":2016,"lang":"en","type":"article","venue":"International Journal of Power and Energy Systems","topic":"Induction Heating and Inverter Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Power (physics); Electrical engineering; Materials science; Electronic engineering; Control theory (sociology); Physics; Computer science; Engineering; Artificial intelligence; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000185714,0.0004613771,0.0004607712,0.0002911554,0.0004608237,0.0008192889,0.0006921821,0.0004753289,0.007460079],"category_scores_gemma":[0.0002534218,0.0001938875,0.0002471544,0.0004413766,0.0001871362,0.0006675848,0.0003809324,0.000550936,0.001163817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002998132,"about_ca_system_score_gemma":0.0002990513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005352703,"about_ca_topic_score_gemma":0.002028516,"domain_scores_codex":[0.9997053,0.00004015889,0.00001762394,0.00007476891,0.0001358765,0.00002626201],"domain_scores_gemma":[0.9997705,0.00007154772,0.00002575239,0.00004332378,0.00007216619,0.00001676223],"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":[0.001105657,0.0004837046,0.001053503,0.0005041682,0.0001033118,0.0002646061,0.0003085139,0.007727622,0.6741168,0.01012225,0.003371514,0.3008383],"study_design_scores_gemma":[0.0002733094,0.001407383,0.005835972,0.000127539,0.0001700446,0.001564694,0.0001233576,0.3756985,0.5698962,0.006015684,0.0387941,0.00009316976],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1913183,0.0007822834,0.7670968,0.0002497842,0.0002854786,0.0002155621,0.0001961669,0.00205034,0.03780527],"genre_scores_gemma":[0.8883148,0.0002311159,0.09648737,0.0001325528,0.0001164199,0.0001115763,0.00007744227,0.00006607061,0.0144627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007460079,"threshold_uncertainty_score":0.02495646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004941781190896034,"score_gpt":0.1877696407808084,"score_spread":0.1828278595899124,"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."}}