{"id":"W1691128688","doi":"10.1109/icecs.2001.957601","title":"High frequency CMOS Gm-C bandpass filter with automatic on-chip tuning","year":2002,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Transconductance; CMOS; Band-pass filter; Electronic engineering; Voltage-controlled filter; Filter (signal processing); Active filter; Electrical engineering; Phase-locked loop; Chip; Computer science; High-pass filter; Low-pass filter; Engineering; Phase noise; Transistor; Voltage","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00007094433,0.0002082673,0.0002062767,0.00009231962,0.00007088804,0.00004387103,0.0001407267,0.00007393375,0.003864594],"category_scores_gemma":[0.000009805422,0.0001583038,0.00004713951,0.0001630015,0.00002662741,0.0001250467,0.000005491221,0.0001925557,0.0009098724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000508396,"about_ca_system_score_gemma":0.000005834565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004502996,"about_ca_topic_score_gemma":0.00001883745,"domain_scores_codex":[0.9990987,0.00002378122,0.0001832201,0.0001781568,0.0001877415,0.0003284435],"domain_scores_gemma":[0.999516,0.00007899278,0.00002052569,0.0002529689,0.00002062939,0.0001109344],"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":[0.00002227795,0.0005148079,0.005103194,0.0009639349,0.001500955,0.001357665,0.004816104,0.08913168,0.04694085,0.4810573,0.2379352,0.130656],"study_design_scores_gemma":[0.009915748,0.003009844,0.01665393,0.002057444,0.0006918035,0.0006788218,0.001111182,0.8719673,0.04085698,0.03610858,0.009175912,0.007772467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1558214,0.0003549367,0.5263455,0.00006390874,0.0003331476,0.0003370295,0.000009825681,0.002108274,0.314626],"genre_scores_gemma":[0.9961981,0.00001132493,0.0006706236,0.0002643746,0.00009540766,0.00002359516,0.000004972071,0.00004928984,0.002682371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8403767,"threshold_uncertainty_score":0.999868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01623746830778338,"score_gpt":0.1755121130181357,"score_spread":0.1592746447103523,"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."}}