{"id":"W2098929793","doi":"10.1109/cicc.2006.320911","title":"A Phase-Domain Continuous-Time 2<sup>nd</sup>-Order ΔΣ Frequency Digitizer","year":2006,"lang":"en","type":"article","venue":"","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Oversampling; Demodulation; Frequency domain; Phase-locked loop; Electrical engineering; Time domain; Amplitude; Electronic engineering; Delta-sigma modulation; SIGNAL (programming language); Frequency modulation; Computer science; CMOS; Physics; Radio frequency; Engineering; Channel (broadcasting); Phase noise; Optics","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":[0.0002446563,0.0003028452,0.0004499811,0.0007543866,0.000347291,0.000772965,0.001088562,0.0005171071,0.01065505],"category_scores_gemma":[0.0004919874,0.0003233209,0.0001726265,0.0006158964,0.0002618259,0.0006851116,0.0003575887,0.0005567436,0.003834807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003345231,"about_ca_system_score_gemma":0.0005690519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004516074,"about_ca_topic_score_gemma":0.0007764628,"domain_scores_codex":[0.9996623,0.00002152917,0.00001503087,0.00008069826,0.0001988577,0.00002160779],"domain_scores_gemma":[0.9996494,0.00007804306,0.00003874828,0.00005500375,0.0001431671,0.00003567413],"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":[0.000312335,0.0001212302,0.001203005,0.0004181528,0.00003950853,0.0003781711,0.0001674724,0.002047181,0.5468686,0.008893291,0.01127272,0.4282783],"study_design_scores_gemma":[0.0002884466,0.001364612,0.004692655,0.0001163839,0.0001778279,0.00542691,0.00008038332,0.05705253,0.7087232,0.002574864,0.2193838,0.0001183227],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03571611,0.001267386,0.9305647,0.0004600637,0.0005007021,0.0004021947,0.0005840028,0.0102686,0.02023626],"genre_scores_gemma":[0.3677243,0.001189189,0.5790296,0.0008616746,0.0004642748,0.0003504126,0.0005992127,0.0003803047,0.049401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01065505,"threshold_uncertainty_score":0.03564465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0095914482267862,"score_gpt":0.2361570281249588,"score_spread":0.2265655798981726,"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."}}