{"id":"W4389829252","doi":"10.1002/9781119612490.ch14","title":"HIGH GAIN 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":"Voltage multiplier; Converters; Electronic circuit; Inductor; Capacitor; Voltage; Electronic engineering; Electrical engineering; Boosting (machine learning); Electromagnetic coil; High voltage; Computer science; Engineering; Topology (electrical circuits); Voltage reference; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002721502,0.0007955726,0.0004760099,0.001048005,0.0007123476,0.002798053,0.001183885,0.0009365759,0.04987345],"category_scores_gemma":[0.0006323628,0.000275218,0.000354231,0.00133873,0.0005804271,0.002056379,0.001029616,0.001230805,0.03004093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100692,"about_ca_system_score_gemma":0.0003571941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005707668,"about_ca_topic_score_gemma":0.000806864,"domain_scores_codex":[0.9993204,0.00003877841,0.00001927404,0.00009055423,0.0004708558,0.00006003104],"domain_scores_gemma":[0.9997404,0.00003991114,0.00001682359,0.00004389355,0.0001419342,0.00001698812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001188469,0.00008867738,0.000244687,0.0007468848,0.00002202073,0.0002666754,0.0002509152,0.003295451,0.06357654,0.290714,0.07982687,0.5608485],"study_design_scores_gemma":[0.0000138623,0.00005700729,0.0001602814,0.0001237955,0.00001214969,0.0005345434,0.00006115757,0.004511001,0.03184887,0.01944033,0.9432139,0.00002307964],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005945003,0.009366473,0.1857599,0.0006761531,0.001167136,0.0001626658,0.0004825405,0.002559504,0.7938806],"genre_scores_gemma":[0.1831178,0.0209965,0.140157,0.001229793,0.0009593075,0.0002629755,0.001301163,0.0007592634,0.6512162],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9501265,"threshold_uncertainty_score":0.1668433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005760966179620784,"score_gpt":0.1926045043734082,"score_spread":0.1868435381937874,"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."}}