{"id":"W1964841732","doi":"10.1109/ccece.2010.5575206","title":"A low power 12-bit 10MS/s algorithmic ADC","year":2010,"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":"University of Waterloo","funders":"","keywords":"Capacitor; Computer science; Power (physics); Electronic engineering; Distortion (music); Successive approximation ADC; Low-power electronics; Signal-to-noise ratio (imaging); Power consumption; Bit (key); Analog-to-digital converter; Noise (video); Electrical engineering; Engineering; Voltage; CMOS; Artificial intelligence; Telecommunications; Amplifier","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":["insufficient_payload"],"category_scores_codex":[0.0001040807,0.000145468,0.0001374517,0.00006661524,0.00003969065,0.00003252165,0.0001558155,0.0001220171,0.00286253],"category_scores_gemma":[0.00001255215,0.0001308428,0.00007196321,0.00008472185,0.00002788166,0.0001013715,0.00001103722,0.0003027901,0.00127797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001547494,"about_ca_system_score_gemma":0.00001585626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002089028,"about_ca_topic_score_gemma":0.00005880807,"domain_scores_codex":[0.9992951,0.000007496847,0.000140342,0.000148182,0.0001213253,0.0002875616],"domain_scores_gemma":[0.9995739,0.00003037399,0.00001070627,0.0002360109,0.00002472335,0.0001243064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001011924,0.0001360571,0.0004656492,0.0000942784,0.0002168639,0.000165228,0.0006516424,0.001080804,0.6505069,0.1234661,0.1493246,0.0738818],"study_design_scores_gemma":[0.003512196,0.0004863984,0.007476569,0.0001168446,0.000165266,0.0004567259,0.0005702273,0.04672687,0.3137507,0.03238864,0.5904323,0.003917274],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.063096,0.0001382899,0.5929529,0.00001803785,0.001427146,0.0002162037,0.0000100881,0.001193774,0.3409475],"genre_scores_gemma":[0.9945068,0.000008121391,0.0003278162,0.0001356494,0.0001662667,0.00001259873,0.000004734274,0.00003798181,0.004800016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9314108,"threshold_uncertainty_score":0.9994997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004319863788545073,"score_gpt":0.1744270839871559,"score_spread":0.1701072201986108,"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."}}