{"id":"W1523932506","doi":"10.1109/mwscas.2003.1562244","title":"Background capacitor mismatch calibration for pipelined ADC","year":2006,"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":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Capacitor; Successive approximation ADC; Calibration; Computer science; Converters; Dynamic range; Electronic engineering; SIGNAL (programming language); Effective number of bits; Analog-to-digital converter; Electrical engineering; Engineering; CMOS; Voltage; Mathematics","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":[0.0005143741,0.0004811998,0.0003307652,0.0006782176,0.0005158721,0.000679665,0.001167672,0.000715779,0.002711963],"category_scores_gemma":[0.001943176,0.0002815443,0.0002141377,0.0009465818,0.0003774479,0.001316788,0.0006923843,0.0009470319,0.0007619656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001106991,"about_ca_system_score_gemma":0.0007692779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009702006,"about_ca_topic_score_gemma":0.001267997,"domain_scores_codex":[0.9988757,0.0001256554,0.00003394881,0.0002011116,0.0007011325,0.00006252437],"domain_scores_gemma":[0.9993958,0.0001334506,0.00007532346,0.0001129374,0.0002519318,0.0000305096],"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":[0.0005042637,0.00005226623,0.001651361,0.0003423475,0.0000399184,0.0002839614,0.0001637736,0.01029933,0.5711911,0.01870987,0.003479307,0.3932825],"study_design_scores_gemma":[0.00006791352,0.0004245385,0.002430031,0.00006798519,0.00005945238,0.001610846,0.00004244363,0.1466358,0.802525,0.004644722,0.04140251,0.00008871593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03655988,0.00120954,0.955274,0.0002210327,0.0002466115,0.0000712777,0.0001011149,0.002092293,0.004224246],"genre_scores_gemma":[0.599211,0.0007939312,0.3932154,0.0002945369,0.0001266023,0.00007258866,0.0002294021,0.0001792753,0.005877296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002711963,"threshold_uncertainty_score":0.009072363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01613190971312334,"score_gpt":0.2061932833321546,"score_spread":0.1900613736190312,"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."}}