{"id":"W1975565373","doi":"10.1049/el.2013.2871","title":"Cascaded charge‐domain sampling mixer with embedded sinc <sup>3</sup> FIR and four‐path filters for software‐defined radio","year":2014,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Sinc function; Software-defined radio; Sampling (signal processing); Path (computing); Radio frequency; Physics; Finite impulse response; Software; Electronic engineering; Computer science; Materials science; Electrical engineering; Engineering; Filter (signal processing); Telecommunications; Computer network","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":[0.0002610616,0.0003480479,0.0002907019,0.0002572876,0.000252205,0.0004895707,0.0008183947,0.0004875129,0.001972319],"category_scores_gemma":[0.0002283048,0.0002397058,0.0003278505,0.0003541607,0.0002538338,0.0004035314,0.0002036119,0.0004950115,0.0004823713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004709398,"about_ca_system_score_gemma":0.0003668238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004569225,"about_ca_topic_score_gemma":0.001779706,"domain_scores_codex":[0.9998631,0.0000191916,0.00000675352,0.00002959863,0.00005844838,0.00002280596],"domain_scores_gemma":[0.999843,0.00004372024,0.00003578245,0.00001999602,0.0000422089,0.00001534391],"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":[0.0003287359,0.00009218553,0.001011411,0.00006770402,0.00003887792,0.0001358805,0.00005046083,0.001925153,0.9533896,0.006372353,0.0005734388,0.03601427],"study_design_scores_gemma":[0.0001445387,0.001407872,0.002697159,0.00001858191,0.0001396079,0.001214154,0.00002878052,0.07373242,0.9035529,0.0008727307,0.01615044,0.00004076253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.447642,0.001489906,0.5340405,0.0003785929,0.0003146942,0.0002357789,0.000156287,0.001710113,0.01403207],"genre_scores_gemma":[0.812597,0.0002906313,0.181408,0.0002085888,0.0001102698,0.00005156026,0.000109617,0.00004036808,0.005183932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001972319,"threshold_uncertainty_score":0.006598055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065438188644729,"score_gpt":0.1933438892124127,"score_spread":0.1826895073259655,"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."}}