{"id":"W2957523168","doi":"10.1007/s10470-019-01494-y","title":"Layout optimization of planar inductors for high-efficiency integrated power converters","year":2019,"lang":"en","type":"article","venue":"Analog Integrated Circuits and Signal Processing","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inductor; Converters; Inductance; Parasitic extraction; Electronic engineering; Power (physics); CMOS; Planar; Buck converter; Engineering; Overhead (engineering); Computer science; Electrical engineering; Voltage; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002331799,0.000628441,0.0003570637,0.0004500742,0.000212947,0.000882278,0.0007874232,0.0004123022,0.00293168],"category_scores_gemma":[0.001055951,0.0003477895,0.0003300778,0.0006589163,0.0002162061,0.00056174,0.0003033488,0.00028932,0.0008860725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023919,"about_ca_system_score_gemma":0.0006363871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000808315,"about_ca_topic_score_gemma":0.002058706,"domain_scores_codex":[0.9997835,0.00004886268,0.000008456981,0.00002700654,0.00009269731,0.0000395078],"domain_scores_gemma":[0.9997203,0.00008766791,0.00006505271,0.00002512624,0.00009081796,0.00001100656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003129596,0.0001484745,0.001494329,0.0005074166,0.0001758527,0.0002106376,0.0001329951,0.6522872,0.219055,0.01579339,0.004937132,0.1049445],"study_design_scores_gemma":[0.000133859,0.000848855,0.00168712,0.00005483869,0.0001923739,0.0003306313,0.0001665591,0.888168,0.08589739,0.006647608,0.0158281,0.00004473443],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2778454,0.002797581,0.6712096,0.0005495994,0.0001813107,0.0001128975,0.0003409277,0.002197889,0.04476487],"genre_scores_gemma":[0.9133179,0.0005397037,0.08150215,0.0000587687,0.00004089961,0.00004318529,0.0001483952,0.0001969792,0.004151947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00293168,"threshold_uncertainty_score":0.009807467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007866836969969681,"score_gpt":0.202567257921795,"score_spread":0.1947004209518254,"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."}}