{"id":"W1775385003","doi":"10.1109/iscas.2002.1010653","title":"Self-timed MOS current mode logic for digital applications","year":2003,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Current (fluid); Current-mode logic; Logic gate; Mode (computer interface); Electrical engineering; Electronic engineering; Engineering; Human–computer interaction; Algorithm","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":[0.000101501,0.0001622894,0.00008053572,0.0002375252,0.0001520817,0.000346626,0.0004595886,0.0001799144,0.002309387],"category_scores_gemma":[0.0002630316,0.00007120114,0.0001530389,0.0002107317,0.0001864054,0.000512132,0.0001742932,0.0001814001,0.0004840419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002147724,"about_ca_system_score_gemma":0.0002425023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001446359,"about_ca_topic_score_gemma":0.0004846379,"domain_scores_codex":[0.9999336,0.000009346641,0.000004640506,0.00001099062,0.00003286843,0.000008549715],"domain_scores_gemma":[0.9998431,0.00003830738,0.00002837422,0.00002613949,0.00005181965,0.00001216828],"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":[0.0002324109,0.00006895748,0.001507093,0.0003626148,0.00002304209,0.0004106359,0.0001107834,0.005994308,0.5496051,0.04839817,0.003465076,0.3898218],"study_design_scores_gemma":[0.00008498445,0.00117968,0.002432043,0.00008037822,0.000119407,0.003402218,0.00009169691,0.2211237,0.5883312,0.02305018,0.1600472,0.00005727202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2140565,0.00631643,0.7356238,0.0005634484,0.0003742659,0.0001646427,0.0001891729,0.005327141,0.03738453],"genre_scores_gemma":[0.8614368,0.001137409,0.1292698,0.0002948996,0.0001082063,0.00005361871,0.000115357,0.00008647819,0.007497379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002309387,"threshold_uncertainty_score":0.007725656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01123975455520065,"score_gpt":0.2352428235511938,"score_spread":0.2240030689959931,"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."}}