{"id":"W2669730234","doi":"10.1007/s10470-017-1014-3","title":"Offset-injection digital background calibration for VCO-based ADC","year":2017,"lang":"en","type":"article","venue":"Analog Integrated Circuits and Signal Processing","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Voltage-controlled oscillator; Offset (computer science); Electronic engineering; Calibration; Phase noise; Computation; Computer science; Mathematics; Engineering; Electrical engineering; Algorithm; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002135106,0.0002969125,0.0003024156,0.0001548918,0.0008986906,0.001326961,0.000216622,0.0002055513,0.00003336131],"category_scores_gemma":[0.00004321586,0.0002681212,0.00009772558,0.0001270107,0.0001416988,0.001237007,0.000009772762,0.0002504867,0.000006991645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007351161,"about_ca_system_score_gemma":0.0001310206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005719484,"about_ca_topic_score_gemma":0.00004739932,"domain_scores_codex":[0.9987252,0.00001952475,0.0003380699,0.0003558517,0.0001798677,0.0003815269],"domain_scores_gemma":[0.999247,0.00007033008,0.0001423714,0.0001972263,0.0001951604,0.0001479187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004619901,0.00007376892,0.001588393,0.0004747929,0.0001333422,0.00002083864,0.000224946,0.00646957,0.01958136,0.006199915,0.002281342,0.9629055],"study_design_scores_gemma":[0.001715188,0.0004863084,0.001296338,0.0005488627,0.0001832989,0.00005424154,0.0007489271,0.9658761,0.007657452,0.01610074,0.004263028,0.001069489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0288004,0.000651747,0.9655643,0.00002057745,0.0001418025,0.0002561447,0.00007266164,0.0002731101,0.004219248],"genre_scores_gemma":[0.999086,0.00001441055,0.00004713934,0.00009802837,0.000211292,0.00004107901,0.0002061623,0.00005594578,0.0002399728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9702856,"threshold_uncertainty_score":0.9999771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02760496871039382,"score_gpt":0.2454775139386518,"score_spread":0.217872545228258,"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."}}