{"id":"W2011574527","doi":"10.1109/iscas.2012.6271471","title":"Impact of gradient error on switching sequence in high-accuracy thermometer-decoded current-steering DACs","year":2012,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Converters; Computer science; MATLAB; Sequence (biology); Digital-to-analog converter; Linearity; Network topology; Electronic engineering; Current (fluid); Thermometer; Current source; Topology (electrical circuits); Control theory (sociology); Algorithm; Voltage; Electrical engineering; Engineering; Physics; Artificial intelligence","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":[0.000285944,0.0002284082,0.0002881266,0.0002292485,0.0000273624,0.00001616448,0.0001812671,0.00006262324,0.0001043673],"category_scores_gemma":[0.00005201815,0.0001856012,0.0001244789,0.0002627027,0.00001545678,0.0003297805,0.00001882545,0.0002619863,0.00004507787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002274572,"about_ca_system_score_gemma":0.00001918606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002995968,"about_ca_topic_score_gemma":0.00001841262,"domain_scores_codex":[0.9987934,0.00004263746,0.0003355006,0.0001534335,0.0001687682,0.0005062532],"domain_scores_gemma":[0.9993854,0.0001449755,0.00005590818,0.0002495749,0.00001924143,0.0001448957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006716073,0.0005434734,0.06433951,0.0004067439,0.0003034424,0.00002332754,0.00476864,0.1007563,0.586024,0.03352266,0.0004149262,0.2088298],"study_design_scores_gemma":[0.005108666,0.001540889,0.7863585,0.001798522,0.0002174042,0.0001037206,0.0007445803,0.08187958,0.110391,0.006940213,0.0008715719,0.004045335],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9420304,0.0004946121,0.0555507,0.000001352049,0.0003481258,0.0001562069,0.00001078292,0.000138022,0.001269797],"genre_scores_gemma":[0.9997184,0.00005161286,0.00007455008,0.000007122374,0.00007270193,0.00001460512,0.000006625946,0.0000379532,0.00001647054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.722019,"threshold_uncertainty_score":0.7568599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05444497061700598,"score_gpt":0.3079734597017413,"score_spread":0.2535284890847354,"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."}}