{"id":"W4389848287","doi":"10.1002/9781119612490.ch15","title":"THREE‐PHASE DC–DC CONVERTERS","year":2023,"lang":"de","type":"other","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Converters; Three-phase; Electrical engineering; Phase (matter); Computer science; Physics; Engineering; Voltage","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":[0.0001812437,0.0006607827,0.0004354574,0.0008478275,0.0005655893,0.001505062,0.0008005927,0.0006388072,0.02539352],"category_scores_gemma":[0.0003104643,0.0002381281,0.0003168922,0.001408245,0.0003360131,0.0009074009,0.0005354543,0.001026864,0.01671555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005712732,"about_ca_system_score_gemma":0.000476416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009981774,"about_ca_topic_score_gemma":0.0009368843,"domain_scores_codex":[0.9996938,0.00002057736,0.00001511882,0.00004861516,0.0001977229,0.00002429519],"domain_scores_gemma":[0.9998369,0.0000226266,0.00001132848,0.00002058814,0.00009715382,0.00001133073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008331874,0.0000940482,0.0001728274,0.001196697,0.00002026877,0.0003030574,0.0002178498,0.005028927,0.05751612,0.09394602,0.0680286,0.7733923],"study_design_scores_gemma":[0.000008528284,0.00003891643,0.0001334417,0.0001576666,0.000008199467,0.0003725394,0.00003754156,0.004150818,0.0184077,0.006588463,0.9700781,0.00001789605],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009656405,0.03014607,0.342323,0.001436033,0.002991589,0.0003955152,0.001065847,0.003933222,0.6080523],"genre_scores_gemma":[0.214468,0.07539514,0.1792575,0.002559791,0.001604025,0.0005408539,0.002937246,0.0009673567,0.5222701],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02539352,"threshold_uncertainty_score":0.08494979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01431033692327456,"score_gpt":0.2490702828337784,"score_spread":0.2347599459105038,"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."}}