{"id":"W4323304542","doi":"10.36227/techrxiv.22213780.v1","title":"Efficient Planar Integrated Transformer-Inductor with High PCB Utilization and Optimized Core","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Teck (Canada)","funders":"National Science Foundation","keywords":"Inductor; Transformer; Electromagnetic shielding; Idle; Electrical engineering; Power density; Electromagnetic coil; Materials science; Leakage inductance; Magnetic core; Engineering; Power (physics); Computer science; Physics; 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":[0.00019792,0.0003737539,0.0003527889,0.0003292425,0.0001401105,0.0006951638,0.0009192046,0.0002500348,0.001320926],"category_scores_gemma":[0.0002880924,0.0001774769,0.0002392147,0.0006003976,0.0001850778,0.000802929,0.0003001418,0.0003025774,0.0009681687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005478225,"about_ca_system_score_gemma":0.0003829386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004051545,"about_ca_topic_score_gemma":0.001079439,"domain_scores_codex":[0.9997424,0.000029581,0.00001043393,0.00004667688,0.0001292127,0.0000415843],"domain_scores_gemma":[0.99986,0.00001792565,0.00003841745,0.00002189672,0.00005157018,0.00001006712],"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":[0.0001919993,0.0001495733,0.00182679,0.0004068051,0.00005990029,0.0002096608,0.0001013749,0.01610905,0.8656415,0.009212486,0.003018299,0.1030726],"study_design_scores_gemma":[0.0001334375,0.0007504296,0.002195407,0.00002889936,0.0001025467,0.001090574,0.00006338042,0.1213921,0.8410921,0.001508478,0.03160773,0.0000348764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2137445,0.0006979473,0.7580415,0.0002040203,0.00008094667,0.00009586362,0.000288026,0.00299077,0.02385653],"genre_scores_gemma":[0.8259869,0.000307339,0.1693034,0.00006958272,0.000027703,0.00004437481,0.0003056071,0.0002403808,0.003714707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001320926,"threshold_uncertainty_score":0.004418969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04209319904690073,"score_gpt":0.2416041685372403,"score_spread":0.1995109694903396,"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."}}