{"id":"W4402572308","doi":"10.1109/newcas58973.2024.10666320","title":"Design Techniques for Sample-and-Hold with Bootstrapping in Low-Power SAR ADC","year":2024,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Bootstrapping (finance); Computer science; Sample (material); Successive approximation ADC; Power (physics); Electrical engineering; Mathematics; Econometrics; Capacitor; Engineering; 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":[0.0004658406,0.0004926867,0.0002212142,0.0004100652,0.000390106,0.0006264903,0.001194818,0.0004907458,0.002339927],"category_scores_gemma":[0.00138342,0.0002482142,0.0002337455,0.0002875307,0.0003436266,0.0007796495,0.000325767,0.0005194259,0.0004827738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005409371,"about_ca_system_score_gemma":0.0003889622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008764451,"about_ca_topic_score_gemma":0.001842084,"domain_scores_codex":[0.9995131,0.00008411543,0.00004202883,0.00007931146,0.0002416628,0.0000396809],"domain_scores_gemma":[0.9992533,0.0002474421,0.0001690401,0.0001518719,0.000162322,0.00001594652],"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":[0.0006944208,0.0001446979,0.00309796,0.0006550576,0.0001266447,0.0008546969,0.0006033859,0.03084734,0.6141673,0.01426288,0.002887907,0.3316577],"study_design_scores_gemma":[0.0001241313,0.001459103,0.002961996,0.00009604709,0.0001778964,0.002112663,0.0001625645,0.3388597,0.6291994,0.003845562,0.02094893,0.00005202107],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08634314,0.0009343678,0.9051287,0.0003738392,0.0001055322,0.0002243802,0.00009971076,0.002438734,0.004351571],"genre_scores_gemma":[0.8171753,0.0003394278,0.1792075,0.0002341816,0.00007250999,0.00008839427,0.00008052612,0.00008161913,0.002720615],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002339927,"threshold_uncertainty_score":0.007827818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01916555456303647,"score_gpt":0.2253407020911071,"score_spread":0.2061751475280706,"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."}}