{"id":"W2104009287","doi":"10.1109/iscas.2000.857399","title":"Optimizing bandwidth power efficiency of a CMOS transconductor","year":2002,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Transconductance; CMOS; Linearity; Bandwidth (computing); Figure of merit; Electronic engineering; Spice; Computer science; Power (physics); Electrical engineering; Transistor; Physics; Engineering; Optoelectronics; Voltage; Telecommunications","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":[0.000143298,0.0003845796,0.0002111098,0.0002204482,0.000151113,0.0004241319,0.000366224,0.0003246187,0.0006751319],"category_scores_gemma":[0.0007124196,0.0001094698,0.0001458477,0.0003253353,0.0001948512,0.0004717368,0.0001797956,0.0001459438,0.0001997577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004494801,"about_ca_system_score_gemma":0.0002007567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005124132,"about_ca_topic_score_gemma":0.0007542084,"domain_scores_codex":[0.9998119,0.0000418258,0.000009219912,0.00004073012,0.00007139725,0.00002492999],"domain_scores_gemma":[0.9998529,0.00005895678,0.00002216323,0.00001754645,0.00004510555,0.000003401206],"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":[0.0002177419,0.00004081495,0.002126468,0.00009879964,0.0000574683,0.0001564734,0.00009162937,0.2159813,0.6245871,0.03033219,0.0007462505,0.1255639],"study_design_scores_gemma":[0.00001723646,0.0001457073,0.001684675,0.00001315938,0.00004314928,0.0003933887,0.00004188701,0.6839764,0.3030988,0.005891373,0.004675616,0.00001874756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4164839,0.0009892377,0.5649227,0.0002670883,0.00002274827,0.00003289854,0.0001001901,0.0004257372,0.01675544],"genre_scores_gemma":[0.9702537,0.0001361944,0.02831157,0.00002847813,0.000008189641,0.00001439004,0.00002969048,0.00003805587,0.001179662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006751319,"threshold_uncertainty_score":0.003261209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275567311117937,"score_gpt":0.1797649330225195,"score_spread":0.1670092599113401,"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."}}