{"id":"W2123597658","doi":"10.1109/newcas.2006.250965","title":"Ultra-Wideband Front-End With Tunable Notch Filter","year":2006,"lang":"en","type":"article","venue":"","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Band-stop filter; Wideband; Electronic engineering; Ultra-wideband; CMOS; Filter (signal processing); Low-noise amplifier; Computer science; Finite impulse response; Bandwidth (computing); Electrical engineering; Low-pass filter; Telecommunications; Engineering; Amplifier","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":[],"category_scores_codex":[0.00006014021,0.00020423,0.0001738387,0.00007398035,0.00003861293,0.00006778471,0.000147948,0.00008937262,0.00225782],"category_scores_gemma":[0.00000527924,0.0001551544,0.00003784748,0.0001432679,0.00003666431,0.0002206846,4.551979e-7,0.0001729166,0.0004397771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001081477,"about_ca_system_score_gemma":0.00002081067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008533571,"about_ca_topic_score_gemma":0.0003919529,"domain_scores_codex":[0.9990638,0.00001182841,0.0001882267,0.0001909283,0.0001710935,0.0003740445],"domain_scores_gemma":[0.9995595,0.00004021073,0.00001423756,0.0002845888,0.00003945904,0.00006204898],"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":[0.00001124428,0.00004415701,0.003587526,0.00005488786,0.0001142383,0.000129366,0.0001260628,0.08261296,0.6136352,0.004141319,0.2942022,0.001340799],"study_design_scores_gemma":[0.0005168533,0.0000578733,0.0008131328,0.00003737621,0.00002863888,0.0000777005,0.00004923371,0.002115187,0.9732329,0.001421058,0.02117363,0.0004763865],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02085482,0.0003363229,0.06411371,0.0000460721,0.0001581104,0.0001681128,0.00001049983,0.0007537062,0.9135587],"genre_scores_gemma":[0.9857125,0.000008691508,0.0007170886,0.00007676548,0.0001151206,0.00002929121,0.00001748786,0.00005861036,0.01326439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9648578,"threshold_uncertainty_score":0.9986542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006166674004159689,"score_gpt":0.1662516047182575,"score_spread":0.1600849307140978,"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."}}