{"id":"W2902090394","doi":"10.1109/sispad.2018.8551713","title":"Methodology to Generate Approximate Circuits to Reduce Process Induced Degradation in CNFET Based Circuits","year":2018,"lang":"en","type":"article","venue":"","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Adder; Computer science; Electronic circuit; Degradation (telecommunications); Process (computing); Electronic engineering; Logic gate; Algorithm; Engineering; Electrical engineering; CMOS; Telecommunications","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":[0.0005362519,0.0002017932,0.0002874978,0.0002964192,0.00003837089,0.00007131081,0.000216347,0.0001272306,0.0002445812],"category_scores_gemma":[0.0001440974,0.0001938898,0.00002070591,0.0005778483,0.00001184328,0.0001714122,0.00002500347,0.00007461547,0.0001658304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006838772,"about_ca_system_score_gemma":0.00004380933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001200499,"about_ca_topic_score_gemma":0.000176012,"domain_scores_codex":[0.9986961,0.00009695598,0.0003379861,0.0003529006,0.0001327043,0.0003832791],"domain_scores_gemma":[0.9993852,0.00005677448,0.00003143027,0.0002600455,0.0001153244,0.0001512418],"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":[0.000007050185,0.00001332833,0.0001271941,0.00006812949,0.000007661075,0.000001770248,0.000567987,0.001983006,0.991726,0.0001217108,0.0002791819,0.005097008],"study_design_scores_gemma":[0.0002859099,0.00007753439,0.001736818,0.00003590587,0.000005935744,0.00000371598,0.0001095918,0.006053443,0.9909821,0.000162444,0.0002651796,0.0002813976],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802779,0.00001736679,0.01543177,0.0001264283,0.001029186,0.0004263583,0.000007759324,0.0003045464,0.002378663],"genre_scores_gemma":[0.9928206,0.000001264544,0.005796287,0.0008359891,0.0003082719,0.0001226103,0.00001585591,0.00004633484,0.00005278013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01254269,"threshold_uncertainty_score":0.7906595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1149207422455451,"score_gpt":0.3302779435866836,"score_spread":0.2153572013411385,"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."}}