{"id":"W4393380092","doi":"10.1109/ieeeconf59524.2023.10476813","title":"Signed-Digit Addition Based on CNFETs and Ternary Logic","year":2023,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Ternary operation; Computer science; Numerical digit; Logic gate; Arithmetic; Programming language; Mathematics; 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":[0.0001622298,0.0004549753,0.000312325,0.0005445952,0.0003855443,0.0008876087,0.0009723183,0.0006863219,0.0019842],"category_scores_gemma":[0.0004041782,0.000189466,0.0003553304,0.0004058844,0.0004164441,0.001096456,0.0003541055,0.000383368,0.0006298615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006973033,"about_ca_system_score_gemma":0.0004490864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005330246,"about_ca_topic_score_gemma":0.001264096,"domain_scores_codex":[0.99979,0.00002451537,0.00001997934,0.00003466826,0.0001040512,0.00002675498],"domain_scores_gemma":[0.9998327,0.0000338922,0.00003298563,0.00002885106,0.00005734934,0.0000141287],"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":[0.0003926751,0.0001157085,0.000713402,0.0006635748,0.00007228371,0.00113939,0.0002253808,0.02123133,0.4951508,0.2359102,0.00384876,0.2405364],"study_design_scores_gemma":[0.00009019629,0.0008853,0.0009488405,0.0001617944,0.0001422122,0.003268859,0.00006757871,0.1946055,0.6483302,0.02584192,0.125519,0.0001386202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1560632,0.004209675,0.7423628,0.0009775143,0.001579969,0.0003471275,0.0003957212,0.00171897,0.09234506],"genre_scores_gemma":[0.6812428,0.001529656,0.3021371,0.0004484171,0.0001392643,0.0001512505,0.0001471592,0.00005678376,0.01414762],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0019842,"threshold_uncertainty_score":0.006637812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02183422316006882,"score_gpt":0.2459971008779389,"score_spread":0.2241628777178701,"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."}}