{"id":"W2161442949","doi":"10.1109/mwscas.2008.4616807","title":"A mixed-signal adder based on the Continuous Valued Number System","year":2008,"lang":"en","type":"article","venue":"","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Adder; Computer science; Binary number; Carry-save adder; Representation (politics); Signal processing; Serial binary adder; SIGNAL (programming language); Electronic engineering; Electronic circuit; Modular design; Mixed-signal integrated circuit; Digital signal processing; Arithmetic; Computer hardware; Mathematics; Integrated circuit; Electrical engineering; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002614651,0.0003624181,0.0003289858,0.0007354702,0.0004373202,0.0008362469,0.0007202146,0.0003997234,0.002940203],"category_scores_gemma":[0.0007435845,0.0002138023,0.0002979707,0.0006912371,0.0002867745,0.00130225,0.0003597492,0.0004124437,0.0006303702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003100554,"about_ca_system_score_gemma":0.0004477009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002607688,"about_ca_topic_score_gemma":0.000600155,"domain_scores_codex":[0.9997923,0.00003744054,0.00002193317,0.00004601142,0.00008826904,0.00001405015],"domain_scores_gemma":[0.9998079,0.00005621184,0.00002432227,0.00002566521,0.00007043514,0.00001546604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004734399,0.00006795172,0.0004345567,0.0005916001,0.0001037126,0.0004670443,0.0001258267,0.02362766,0.2046361,0.286704,0.006329797,0.4764384],"study_design_scores_gemma":[0.000183116,0.001005079,0.001138149,0.0001183173,0.0002953734,0.003243059,0.00006396378,0.5273725,0.2342097,0.07471194,0.1574898,0.0001690448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03553851,0.001773544,0.9454532,0.0003829253,0.00103624,0.0001202171,0.0001757693,0.001087361,0.0144322],"genre_scores_gemma":[0.264602,0.0008568578,0.7267764,0.000258288,0.0002511179,0.00012185,0.0001812197,0.00003706202,0.006915221],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002940203,"threshold_uncertainty_score":0.009835958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03723561490849926,"score_gpt":0.2527806383633029,"score_spread":0.2155450234548036,"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."}}