{"id":"W2141825982","doi":"10.1109/tvlsi.2005.853609","title":"MOS current mode circuits: analysis, design, and variability","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electronic circuit; Electronic engineering; CMOS; Current-mode logic; Computer science; Integrated circuit design; Circuit design; Logic gate; Integrated circuit; Engineering; Electrical engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008271689,0.000378232,0.0005261353,0.00045696,0.0002618152,0.0001529367,0.0001721966,0.0002292685,0.0001053012],"category_scores_gemma":[0.00000952096,0.0003602605,0.0002581571,0.0007568079,0.00006349655,0.0004831828,8.743457e-7,0.0005118472,0.0001009488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003583716,"about_ca_system_score_gemma":0.00005069988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006781413,"about_ca_topic_score_gemma":0.0002470705,"domain_scores_codex":[0.9976576,0.0003630224,0.0006810391,0.0004940256,0.0003792863,0.0004250475],"domain_scores_gemma":[0.9988763,0.0002055993,0.0000791432,0.0004598793,0.0001585754,0.0002204877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001900184,0.0002628026,0.00004272375,0.0000974654,0.0004594949,0.000001847221,0.0008174598,0.9644158,0.005184389,0.0009807805,0.0006290648,0.0270892],"study_design_scores_gemma":[0.0005551419,0.00007108489,0.00008319062,0.0001076344,0.0006039041,0.00001633889,0.0003280359,0.984489,0.01064765,0.0002046135,0.002403246,0.0004901923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006956469,0.000723111,0.9893837,0.00001131477,0.001084307,0.0006404402,0.0002065048,0.0004786911,0.0005154791],"genre_scores_gemma":[0.9988247,0.0002201062,0.0001834046,0.00002668951,0.0001690965,0.0002371954,0.00003526622,0.00004464902,0.0002588661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9918683,"threshold_uncertainty_score":0.999885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535185714347722,"score_gpt":0.2385529517374107,"score_spread":0.2232010945939334,"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."}}