{"id":"W1950578917","doi":"10.1109/imtc.1996.507583","title":"Evaluation of analog to digital conversion error for wideband signals","year":2002,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Digital signal processing; Analog signal; Analog-to-digital converter; Wideband; Successive approximation ADC; SIGNAL (programming language); Electronic engineering; Signal processing; Analog device; Calibration; Analog signal processing; Standard deviation; Voltage; Computer hardware; Mathematics; Engineering; Statistics; Electrical engineering; Capacitor","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":[0.001131666,0.0003966312,0.0002959611,0.001191347,0.0002141804,0.0004782282,0.0004384042,0.0004364357,0.001218558],"category_scores_gemma":[0.009770101,0.0001127054,0.0001697082,0.0006830905,0.0003392858,0.0006725108,0.000396751,0.000322653,0.0003016447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002956785,"about_ca_system_score_gemma":0.0001898866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003275721,"about_ca_topic_score_gemma":0.0003340976,"domain_scores_codex":[0.9976859,0.0004079856,0.0001542031,0.0002354215,0.001444969,0.00007154993],"domain_scores_gemma":[0.9949858,0.002803831,0.000364457,0.0005311336,0.001265766,0.00004896088],"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":[0.001221355,0.0001617987,0.01677868,0.0005336044,0.0001375825,0.0005068916,0.0004425353,0.04093255,0.4779483,0.004900805,0.0006282073,0.4558078],"study_design_scores_gemma":[0.00004018963,0.001736772,0.02826793,0.0000557981,0.00009725795,0.002256077,0.0001901387,0.2142496,0.7443463,0.002253297,0.006395384,0.0001113144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3538197,0.000916926,0.6401942,0.00009246143,0.0001137016,0.00008982966,0.0001307599,0.001018086,0.003624417],"genre_scores_gemma":[0.8984002,0.0003290742,0.09930772,0.00004199479,0.00002804631,0.00004710879,0.0001491295,0.0001125768,0.001584059],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001218558,"threshold_uncertainty_score":0.005984902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06589913605489497,"score_gpt":0.259987850512422,"score_spread":0.194088714457527,"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."}}