{"id":"W3089855217","doi":"10.1109/iscas45731.2020.9180833","title":"All-Digital Calibration Algorithms to Correct for Static Non-Linearities in ADCs","year":2020,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Spurious-free dynamic range; Calibration; Computer science; Algorithm; Flash (photography); Electronic engineering; Mathematics; Engineering; Physics; Dynamic range; Optics; Computer vision","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004384177,0.00009731398,0.0001340882,0.00004388442,0.00001367305,0.00006603497,0.00006638175,0.00003928193,0.00003611041],"category_scores_gemma":[0.00004313295,0.00009686803,0.00003315767,0.0001224244,0.000006593435,0.0001903002,0.000006843959,0.00006048418,0.00004313731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002681276,"about_ca_system_score_gemma":0.00001764195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002763914,"about_ca_topic_score_gemma":0.00002219567,"domain_scores_codex":[0.9994562,0.00000489146,0.0001682405,0.0001186074,0.0000750491,0.0001769606],"domain_scores_gemma":[0.9997497,0.00007100213,0.000007614449,0.0000495826,0.0000187749,0.0001032818],"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":[0.0001089745,0.00008663908,0.0007197107,0.0006216847,0.0001709379,0.00005338391,0.01014276,0.5805748,0.009911075,0.0080461,0.3026858,0.0868782],"study_design_scores_gemma":[0.0004393092,0.0001800491,0.00005750654,0.00001766368,0.000008914354,0.000001697832,0.0007325828,0.9865267,0.004320404,0.0005679647,0.00691598,0.0002312232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004433091,0.00002434243,0.9925063,0.00009444256,0.0001042923,0.0002904308,0.00004547525,0.0001700756,0.002331555],"genre_scores_gemma":[0.997241,0.000004375998,0.001084132,0.001064966,0.0001113178,0.00005073808,0.00006805894,0.00002692521,0.0003485299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9928079,"threshold_uncertainty_score":0.3950164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03367544370589717,"score_gpt":0.2373980075463837,"score_spread":0.2037225638404865,"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."}}