{"id":"W2281134699","doi":"10.1049/pbcs014e_ch6","title":"Analogue adaptive filters","year":2002,"lang":"en","type":"book-chapter","venue":"Institution of Engineering and Technology eBooks","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Chip; Electronic engineering; Digital electronics; Electronics; Mixed-signal integrated circuit; Reliability (semiconductor); Analogue electronics; Electronic circuit; Digital signal processing; Digital filter; Power consumption; Integrated circuit; Computer hardware; Electrical engineering; Power (physics); Engineering; Telecommunications; Bandwidth (computing)","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":[0.0002083333,0.0007549774,0.0003512422,0.0008032611,0.0003586786,0.001400519,0.0006806584,0.001068333,0.03934987],"category_scores_gemma":[0.0008093463,0.0002399992,0.0003407332,0.0008104997,0.00043017,0.001126203,0.0003616923,0.001335356,0.02196194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000478006,"about_ca_system_score_gemma":0.0002385381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005214969,"about_ca_topic_score_gemma":0.001046478,"domain_scores_codex":[0.9997564,0.00001747722,0.000009616208,0.00005576455,0.000145435,0.00001534817],"domain_scores_gemma":[0.9997643,0.00007792738,0.00001223016,0.00002481571,0.0001083406,0.00001238931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000102062,0.00005698121,0.0001489883,0.0004475751,0.0000334213,0.0002267928,0.0001996925,0.005500485,0.02830615,0.1066325,0.08545632,0.7728891],"study_design_scores_gemma":[0.00001641605,0.00006963631,0.0002888597,0.0001541974,0.0000341251,0.0008043365,0.00005929004,0.01438163,0.01176008,0.02574276,0.9466575,0.00003117966],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003232477,0.02600245,0.6546715,0.001338867,0.005723571,0.00008773473,0.000285031,0.002040671,0.3066177],"genre_scores_gemma":[0.04142955,0.02075844,0.1448154,0.001720305,0.001740337,0.00009256103,0.0004093604,0.0003739185,0.78866],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03934987,"threshold_uncertainty_score":0.1316385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0230873097643453,"score_gpt":0.1874737519913213,"score_spread":0.164386442226976,"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."}}