{"id":"W1521770013","doi":"10.1109/mwscas.2002.1187209","title":"Zeroing in on a zero-temperature coefficient point","year":2003,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Transistor; Electronic circuit; Transconductance; CMOS; Threshold voltage; Biasing; Electrical engineering; Voltage; Offset (computer science); Physics; Propagation delay; Input offset voltage; Materials science; Optoelectronics; Amplifier; Operational amplifier; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001223799,0.0002071733,0.0002648076,0.0003121795,0.0003218576,0.000751054,0.0003957945,0.0003304509,0.002609904],"category_scores_gemma":[0.0009076941,0.0001617715,0.0001678626,0.0002125422,0.0005029854,0.0009342525,0.0004846518,0.0004411268,0.00078647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004244025,"about_ca_system_score_gemma":0.0003498336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003944932,"about_ca_topic_score_gemma":0.0005892492,"domain_scores_codex":[0.9998496,0.00001218822,0.000007705438,0.0000386361,0.00004960671,0.00004228109],"domain_scores_gemma":[0.9995522,0.00009980318,0.00006193753,0.00007790207,0.0001746661,0.00003349153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003978744,0.00004494,0.006377325,0.0002165908,0.00003514111,0.0004621541,0.0004646661,0.009105234,0.8413661,0.06432568,0.001916201,0.07528811],"study_design_scores_gemma":[0.00004332831,0.0005103676,0.004886694,0.00008235485,0.00007839156,0.001402661,0.0002373719,0.04309665,0.8909501,0.03337201,0.02528601,0.00005397322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8818049,0.000891804,0.08507837,0.0004241166,0.0001898858,0.00003562901,0.0001379185,0.0009834996,0.03045406],"genre_scores_gemma":[0.9888026,0.0001855593,0.007301691,0.00009362749,0.00002099724,0.000008225429,0.00005500303,0.00009647028,0.003435833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002609904,"threshold_uncertainty_score":0.008731008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005301171736419345,"score_gpt":0.1858244239231618,"score_spread":0.1805232521867425,"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."}}