{"id":"W1842653259","doi":"10.1109/iscas.1989.100338","title":"Ratio-independent current mode algorithmic analog-to-digital converters","year":2003,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Converters; CMOS; Offset (computer science); Amplifier; Electrical engineering; Electronic engineering; Voltage; Operational amplifier; Sampling (signal processing); Computer science; Analog-to-digital converter; Engineering; Detector","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008299785,0.0001917816,0.0001806721,0.0001164808,0.00004507862,0.00008401177,0.0001278197,0.00005654995,0.0002979151],"category_scores_gemma":[0.00001557089,0.0001834405,0.00008105938,0.0001655916,0.00001662938,0.0001913424,0.000008148894,0.0001510452,0.0009685336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001002052,"about_ca_system_score_gemma":0.00003389739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009082076,"about_ca_topic_score_gemma":0.000009035585,"domain_scores_codex":[0.9990089,0.00001935295,0.0002160312,0.0002147996,0.0002018604,0.0003390828],"domain_scores_gemma":[0.9995192,0.00002490739,0.00001352417,0.0001869629,0.00003632337,0.0002191077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002090555,0.0002986785,0.001722698,0.0002012697,0.0005520812,0.0001388119,0.001564307,0.1399896,0.01910345,0.3610831,0.1375862,0.3377389],"study_design_scores_gemma":[0.006036649,0.0007426532,0.00182896,0.0002271461,0.000287958,0.0003570699,0.002140153,0.5328367,0.07657921,0.04023398,0.3326128,0.006116731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004712911,0.0002974918,0.9587952,0.000004153136,0.0005249606,0.0001990001,0.00001720507,0.000319613,0.03512946],"genre_scores_gemma":[0.9989148,0.00002305939,0.00009641718,0.00008743101,0.00005565716,0.00002290326,0.0000169066,0.00003129509,0.0007515785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9942018,"threshold_uncertainty_score":0.9998093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01117743299077629,"score_gpt":0.2214849801432029,"score_spread":0.2103075471524266,"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."}}