{"id":"W2155082390","doi":"10.1109/iscas.1996.539801","title":"Trimming of current mode DACs by adjusting V/sub t/","year":2002,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Trimming; Matching (statistics); Electronic engineering; Computer science; Biasing; CMOS; Voltage; Current (fluid); Electrical engineering; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006441684,0.0001036662,0.0001488923,0.0000500116,0.00002689755,0.000007738453,0.00009032727,0.00004093887,0.0001559749],"category_scores_gemma":[0.00001590069,0.0001000743,0.00005159472,0.0001140296,0.000014454,0.00007429056,0.000007737091,0.0001135176,0.00005961787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002499165,"about_ca_system_score_gemma":0.000003061897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001149974,"about_ca_topic_score_gemma":0.000001607948,"domain_scores_codex":[0.9993774,0.00001121521,0.0002028511,0.0001002765,0.0001122649,0.0001959856],"domain_scores_gemma":[0.9997481,0.00004212041,0.00002223171,0.0001099854,0.00002014304,0.0000574136],"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":[0.00000261524,0.0001057287,0.000293031,0.000354435,0.00007743915,0.000005657787,0.0007688737,0.02100136,0.3553432,0.01388809,0.1376411,0.4705186],"study_design_scores_gemma":[0.001225522,0.000102164,0.00008694823,0.0002501642,0.0001307115,0.00001633694,0.0003685179,0.520984,0.4491705,0.001545191,0.02514269,0.000977239],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0656236,0.01011491,0.8784729,0.000002385627,0.000250688,0.000103533,0.00001288382,0.0003298661,0.04508919],"genre_scores_gemma":[0.9993042,0.0002421575,0.0000477414,0.000009766407,0.00004931836,0.00000427401,0.000004971641,0.00001962221,0.000317891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9336807,"threshold_uncertainty_score":0.4080911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02953584906434863,"score_gpt":0.2210958072394932,"score_spread":0.1915599581751446,"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."}}