{"id":"W2165061516","doi":"10.1109/iscas.1990.112328","title":"An adaptive tuning circuit for integrated continuous-time filters","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Filter (signal processing); Computer science; Chip; CMOS; Process (computing); Electronic engineering; Adaptive filter; Algorithm; Engineering; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001681131,0.0002816705,0.0001465021,0.00027408,0.0002405415,0.0005182486,0.0008430013,0.0005817137,0.002976603],"category_scores_gemma":[0.0004574256,0.0001565145,0.0001627049,0.0002516734,0.000214736,0.0004058023,0.0001877303,0.0003880558,0.0006621059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003855173,"about_ca_system_score_gemma":0.0002216008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006339276,"about_ca_topic_score_gemma":0.0009760267,"domain_scores_codex":[0.9997966,0.00002004587,0.000009159422,0.00005560991,0.0001015445,0.00001704649],"domain_scores_gemma":[0.9998463,0.00004101294,0.00002015245,0.00002486712,0.00005655939,0.00001094311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002116412,0.00008308595,0.0004392071,0.0001368031,0.00004575944,0.0002062521,0.0001068221,0.008060474,0.6759133,0.01699978,0.004655129,0.2931418],"study_design_scores_gemma":[0.0002128397,0.001098155,0.002744517,0.00007932522,0.0001857082,0.002308663,0.00004035813,0.3223214,0.5501227,0.006602721,0.1141867,0.00009695041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02974334,0.0006029692,0.955987,0.0001893665,0.0002681732,0.0001008824,0.00007363477,0.003131191,0.009903517],"genre_scores_gemma":[0.5623522,0.0003456809,0.423801,0.0006072464,0.0001729934,0.0001471441,0.0001181808,0.0001469751,0.01230862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002976603,"threshold_uncertainty_score":0.009957731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02866092065763956,"score_gpt":0.2288724362749362,"score_spread":0.2002115156172966,"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."}}