{"id":"W1952115397","doi":"10.1002/cta.1913","title":"Parametric CMOS upconverters and downconverters","year":2013,"lang":"en","type":"article","venue":"International Journal of Circuit Theory and Applications","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"CMOS; Parametric statistics; Electronic engineering; Figure of merit; Power consumption; Computer science; Electrical engineering; Wireless; Engineering; Power (physics); Telecommunications; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002230092,0.0003235827,0.0002477137,0.0003368166,0.0003178035,0.00144523,0.0004976077,0.0004437226,0.008970266],"category_scores_gemma":[0.0006557322,0.0002450515,0.0002355289,0.0002335445,0.0003158874,0.001029456,0.0005138201,0.0006774653,0.00197128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002886169,"about_ca_system_score_gemma":0.0001920751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001386619,"about_ca_topic_score_gemma":0.0001838133,"domain_scores_codex":[0.9997296,0.0000259327,0.00001311247,0.00006574486,0.0001354629,0.00003007985],"domain_scores_gemma":[0.999745,0.00008574429,0.00002707844,0.00005087541,0.00007901048,0.00001236856],"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":[0.0002698918,0.00004173862,0.0008316845,0.0003530909,0.00003022467,0.0003566054,0.0002554941,0.007962447,0.5614088,0.1610769,0.004991411,0.2624216],"study_design_scores_gemma":[0.00005950824,0.0006705648,0.001947082,0.00018657,0.0001026977,0.002422212,0.0001752494,0.05003261,0.6325879,0.04107989,0.27067,0.00006579609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1962593,0.01871121,0.5574999,0.002755173,0.001549589,0.000215469,0.0005975994,0.002742113,0.2196697],"genre_scores_gemma":[0.86493,0.006647807,0.08011352,0.000727111,0.0006805633,0.00007610235,0.0002206949,0.0001132263,0.04649091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008970266,"threshold_uncertainty_score":0.03000849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006229646992084972,"score_gpt":0.2026353197950787,"score_spread":0.1964056728029937,"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."}}