{"id":"W1495598219","doi":"10.1109/iscas.1995.521513","title":"Log-domain filters based on LC ladder synthesis","year":2002,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chebyshev filter; Integrator; Filter (signal processing); Network synthesis filters; Electronic engineering; Computer science; Exponential function; Distortion (music); Active filter; Filter design; Prototype filter; Electronic circuit; Mathematics; Algorithm; Engineering; Amplifier; Electrical engineering; Voltage; CMOS; Bandwidth (computing); Telecommunications; Mathematical analysis","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008509271,0.0001396899,0.0001344753,0.00008875845,0.00004069815,0.00002034408,0.0001086005,0.00007011047,0.007797161],"category_scores_gemma":[0.00002332835,0.00012402,0.00007585548,0.0001073998,0.00002085319,0.0000443868,0.000003334369,0.00009872594,0.001395342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003887117,"about_ca_system_score_gemma":0.000002847814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009297423,"about_ca_topic_score_gemma":0.000005289039,"domain_scores_codex":[0.9993371,0.00002841126,0.0001177229,0.0001407495,0.0001314153,0.0002446077],"domain_scores_gemma":[0.9995081,0.0001842622,0.00000913273,0.0002042676,0.00000935617,0.00008489692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001774723,0.0002194071,0.0004125572,0.0001279739,0.0002020701,0.0002039854,0.0003011895,0.118683,0.01280747,0.04366476,0.7748576,0.04850229],"study_design_scores_gemma":[0.002039981,0.0004062098,0.001488688,0.000270199,0.0001790787,0.00003303048,0.0004649071,0.7625446,0.07353687,0.005328398,0.1510088,0.002699184],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004351855,0.0001246917,0.5370065,0.00006954118,0.0001709872,0.0001115327,0.00001123067,0.0006375627,0.4575161],"genre_scores_gemma":[0.9971789,0.00001031304,0.0002160903,0.0005797251,0.0000593337,0.0000337865,0.000001842168,0.00003249795,0.001887492],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9928271,"threshold_uncertainty_score":0.9993822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01698264644649325,"score_gpt":0.1719148300715968,"score_spread":0.1549321836251036,"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."}}