{"id":"W2119314606","doi":"10.1109/cicc.2009.5280917","title":"Charge-borrowing decap: A novel circuit for removal of local supply noise violations","year":2009,"lang":"en","type":"article","venue":"","topic":"Electrostatic Discharge in Electronics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chip; Noise (video); Drop (telecommunication); Power network design; Noise reduction; Materials science; Charge (physics); Electrical engineering; Electronic engineering; Optoelectronics; Computer science; Engineering; Physics; Artificial intelligence","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":[0.0001830698,0.0004174795,0.0003680112,0.0003930072,0.0003465347,0.0006134093,0.002514937,0.0004250205,0.003229626],"category_scores_gemma":[0.0004391927,0.0002574872,0.0001793312,0.0003939376,0.0003574823,0.0008879522,0.0007098124,0.0005239257,0.0006392666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002991077,"about_ca_system_score_gemma":0.0002997806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002330976,"about_ca_topic_score_gemma":0.0004552929,"domain_scores_codex":[0.9997671,0.00001765229,0.00002066448,0.00006399997,0.00009919034,0.00003144904],"domain_scores_gemma":[0.9995623,0.00007992113,0.00007846476,0.0001103059,0.000125322,0.00004366734],"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":[0.0003852756,0.000133846,0.001319793,0.0003510775,0.00004301867,0.0004725143,0.0001091848,0.001806678,0.8365316,0.003560798,0.00302632,0.1522601],"study_design_scores_gemma":[0.00005859356,0.0006711339,0.001381149,0.00002326465,0.00005499214,0.001558204,0.00003351131,0.02587564,0.951024,0.000865465,0.01841402,0.00004006223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4340773,0.002493782,0.5402034,0.001096778,0.0007708971,0.0004153834,0.0005723421,0.006357622,0.01401245],"genre_scores_gemma":[0.9238455,0.0003864797,0.06576376,0.0007831296,0.0001858986,0.0001189921,0.000229201,0.0001703414,0.008516655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003229626,"threshold_uncertainty_score":0.01080418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103767189320886,"score_gpt":0.2297816240039796,"score_spread":0.2187439521107708,"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."}}