{"id":"W4389833472","doi":"10.1002/9781119612490.ch17","title":"MISCELLANEOUS DC–DC CONVERTERS","year":2023,"lang":"en","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; Voltage; Electrical engineering; Electronic engineering; Engineering; Voltage regulator; Port (circuit theory); Renewable energy; Low-dropout regulator; Computer science; Dropout 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":[0.0002635206,0.0009495124,0.0005923377,0.001410113,0.0008883236,0.002300746,0.001254517,0.001035554,0.09851842],"category_scores_gemma":[0.0007346351,0.0003572121,0.0003934912,0.002352357,0.0004628832,0.002421267,0.001160806,0.001703725,0.05699562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000535825,"about_ca_system_score_gemma":0.0004556984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009732901,"about_ca_topic_score_gemma":0.001764005,"domain_scores_codex":[0.9992225,0.00005220257,0.00003791488,0.0001201512,0.0005194171,0.00004773312],"domain_scores_gemma":[0.9996152,0.00007233425,0.00001712323,0.00006095426,0.0002058345,0.00002849832],"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":[0.00009115893,0.0000828758,0.0001220244,0.001284989,0.00001513082,0.0002966645,0.0001397636,0.001907666,0.01437317,0.07052514,0.2443725,0.6667888],"study_design_scores_gemma":[0.000002818362,0.0000119656,0.00003563693,0.000111963,0.000003001358,0.0002157676,0.00001340046,0.0006262576,0.002469004,0.003298726,0.9932038,0.000007752694],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002100475,0.04245966,0.08726806,0.00187292,0.005788405,0.0001372768,0.0008523812,0.002974141,0.8565466],"genre_scores_gemma":[0.03746025,0.06549729,0.05261985,0.002106848,0.004350702,0.0002124693,0.00198643,0.0009931393,0.834773],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09851842,"threshold_uncertainty_score":0.329577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006555326310037095,"score_gpt":0.1934542991093821,"score_spread":0.186898972799345,"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."}}