{"id":"W2049477737","doi":"10.1109/imsna.2013.6742809","title":"Adder circuits using symmetric and asymmetric FinFETs","year":2013,"lang":"en","type":"article","venue":"","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"CMC Microsystems","keywords":"Adder; Transistor; Network topology; Topology (electrical circuits); Electronic circuit; Electronic engineering; Leakage power; Computer science; Leakage (economics); Logic gate; Electrical engineering; Engineering; CMOS; Voltage; Computer network","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004440845,0.0001027364,0.0001244298,0.000254897,0.00002951197,0.0001158849,0.00005340384,0.00005658329,0.0009282122],"category_scores_gemma":[0.00002373863,0.00008722633,0.00001640616,0.0004100709,0.00001086983,0.0002553285,0.00002191059,0.00003984968,0.0001757287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001578746,"about_ca_system_score_gemma":0.00000398886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002017942,"about_ca_topic_score_gemma":0.000001907671,"domain_scores_codex":[0.9994984,0.000006637606,0.0001314089,0.0001084452,0.00007544338,0.0001797108],"domain_scores_gemma":[0.9997373,0.00004682712,0.00001327253,0.0001036543,0.00002703455,0.00007194004],"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":[6.368189e-7,0.00003085154,0.01037228,0.0003357831,0.0001199683,0.00000642061,0.0001702279,0.0008200176,0.8914483,0.002122999,0.008465963,0.08610656],"study_design_scores_gemma":[0.002046912,0.0001203617,0.2753114,0.0001358554,0.0001424452,0.0002315454,0.0005276782,0.2786171,0.4237989,0.003647876,0.01288896,0.002530898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731419,0.001531026,0.0002250938,0.000006983762,0.0003739457,0.00010017,0.000001719063,0.0001996164,0.02441955],"genre_scores_gemma":[0.9990953,0.00006663995,0.0005650659,0.00008100853,0.00008310407,0.000005578396,0.000001398159,0.00002068522,0.00008118391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4676493,"threshold_uncertainty_score":0.9999851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01946806850687994,"score_gpt":0.2107848482395681,"score_spread":0.1913167797326881,"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."}}