{"id":"W2096279998","doi":"10.1109/esscir.2005.1541639","title":"A 1.2V CMOS multiplier for 10 gbit/s equalization","year":2005,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Multiplier (economics); CMOS; Gigabit; Electronic engineering; Bandwidth (computing); Computer science; Analog multiplier; Low-power electronics; Finite impulse response; Linearity; Converters; Power consumption; Electrical engineering; Digital signal processing; Power (physics); Engineering; Voltage; Physics; Telecommunications; Analog signal","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008679603,0.00009120895,0.00009271166,0.00004442685,0.00003863358,0.00001793042,0.00006263697,0.00006464487,0.000569365],"category_scores_gemma":[0.00002048774,0.00008583688,0.00004968061,0.00006825225,0.000006047035,0.0001000914,0.000003889204,0.00003601851,0.0003853206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003812661,"about_ca_system_score_gemma":0.000007643724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003621235,"about_ca_topic_score_gemma":0.00001900734,"domain_scores_codex":[0.9995088,0.000006510615,0.0001364559,0.0001005216,0.00006757103,0.0001801366],"domain_scores_gemma":[0.9997581,0.00004737156,0.00001072125,0.00009757088,0.00003421429,0.00005202058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002901729,0.00008547585,0.00009583295,0.0001586956,0.0001407309,0.000002267633,0.0008815267,0.1492936,0.09041588,0.3762057,0.2150326,0.1676587],"study_design_scores_gemma":[0.001606847,0.00009132875,0.0001383681,0.00002418803,0.00005414994,0.000005723148,0.0001443233,0.4910002,0.0611118,0.006182432,0.4390108,0.0006298174],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001764592,0.0001412341,0.9622057,0.00001074964,0.00007298743,0.0001876841,0.000004433593,0.0003757962,0.03523683],"genre_scores_gemma":[0.9914011,0.000008524977,0.001281546,0.0001630296,0.000227954,0.0000478546,0.00001582232,0.00003205764,0.006822105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9896365,"threshold_uncertainty_score":0.6234148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01639050691176692,"score_gpt":0.2223861271376123,"score_spread":0.2059956202258454,"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."}}