{"id":"W2171832160","doi":"10.1109/sips.2000.886743","title":"A 2-digit DBNS filter architecture","year":2002,"lang":"en","type":"article","venue":"","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Arithmetic; Finite impulse response; Numerical digit; Binary number; Computer science; Logarithm; Filter (signal processing); Algorithm; Multiplier (economics); Mathematics; Computer vision; Mathematical analysis","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":[0.0002363892,0.000348122,0.0003096514,0.0005603982,0.0004263082,0.0008423497,0.000600165,0.000523915,0.009042907],"category_scores_gemma":[0.0006436914,0.0001962246,0.0002629153,0.0006144822,0.0002497297,0.0007945544,0.0003095324,0.0003520121,0.0030921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006717027,"about_ca_system_score_gemma":0.0007129884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001219597,"about_ca_topic_score_gemma":0.002589836,"domain_scores_codex":[0.9997609,0.00003209072,0.00002268329,0.00005451189,0.0001064745,0.0000234552],"domain_scores_gemma":[0.9998259,0.00003319678,0.00002006377,0.00003602933,0.00006905837,0.00001583303],"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":[0.0008360926,0.000119418,0.0008843704,0.0003457756,0.00007101221,0.0004473809,0.0002413942,0.02501529,0.3265593,0.08879869,0.009136389,0.547545],"study_design_scores_gemma":[0.0002590296,0.001336864,0.002176652,0.0001744804,0.000143692,0.002559277,0.000108642,0.372138,0.4067703,0.03040361,0.1837964,0.0001331754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08047434,0.0006054988,0.8878014,0.0003683113,0.000556946,0.000173891,0.0003486978,0.004429614,0.02524126],"genre_scores_gemma":[0.4055766,0.0005692967,0.5598974,0.0004487633,0.0002172033,0.000182273,0.0005280171,0.0001001263,0.03248032],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009042907,"threshold_uncertainty_score":0.03025156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03018523936925339,"score_gpt":0.2456156186179615,"score_spread":0.2154303792487081,"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."}}