{"id":"W3093522077","doi":"10.1109/epeps48591.2020.9231364","title":"Gauss-Newton Method for Performance Evaluation of Decoupling Capacitors on Resonant Parallel Plates","year":2020,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Decoupling (probability); Capacitor; Decoupling capacitor; Leverage (statistics); Newton's method; Gauss; Computer science; Mathematical optimization; Mathematics; Control theory (sociology); Engineering; Electrical engineering; Voltage; Physics; Control engineering; Control (management)","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":[0.0005074005,0.0007911262,0.0005078587,0.0004163284,0.0003223166,0.0004670497,0.0006322038,0.0005621135,0.002175936],"category_scores_gemma":[0.0008495816,0.0002570552,0.0004038305,0.0003685705,0.000316385,0.0003184874,0.0003295182,0.0005029167,0.0004067546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005881604,"about_ca_system_score_gemma":0.001198916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00571585,"about_ca_topic_score_gemma":0.005081011,"domain_scores_codex":[0.9997794,0.00005573872,0.000006799788,0.0000256462,0.0001141793,0.00001828483],"domain_scores_gemma":[0.999718,0.0001161694,0.00002718737,0.00001355919,0.000114376,0.00001068134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006848075,0.00004071273,0.0006359624,0.0002080548,0.00003850702,0.0000904773,0.00009307424,0.9039893,0.01472588,0.007794698,0.001628491,0.07068636],"study_design_scores_gemma":[0.000002752486,0.00001315908,0.00006805264,0.000003459206,0.000002498652,0.00001140957,0.000006552967,0.9976302,0.0014113,0.0003640168,0.0004829011,0.000003708777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01375448,0.0002491914,0.9801008,0.00007614461,0.00003497964,0.00004187114,0.00002704487,0.0004005866,0.005314998],"genre_scores_gemma":[0.4445297,0.0004483931,0.547152,0.0000631444,0.00003312067,0.0001446685,0.0001120105,0.0002115936,0.007305255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00571585,"threshold_uncertainty_score":0.01136518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04925800454677645,"score_gpt":0.2924374487842463,"score_spread":0.2431794442374699,"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."}}