{"id":"W2158952478","doi":"10.1109/iscas.1990.112249","title":"A novel approach to the exact design of LDI Jaumann digital filters","year":2002,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Digital filter; Electronic engineering; Engineering; Filter (signal processing); Computer vision","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":[0.0001245392,0.00009621173,0.00008847498,0.00006758902,0.00004422244,0.0003840332,0.0007785445,0.00001516387,0.00002869558],"category_scores_gemma":[0.0000225191,0.00006279109,0.00004546893,0.0003372239,0.00002084018,0.001044616,0.0001493705,0.00003379631,0.000127985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001681824,"about_ca_system_score_gemma":0.000008249089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008333899,"about_ca_topic_score_gemma":3.142248e-7,"domain_scores_codex":[0.9991243,0.0000167023,0.0001905014,0.0002244024,0.0002518981,0.0001921436],"domain_scores_gemma":[0.9993865,0.00007177811,0.00004597442,0.0003928888,0.0000374908,0.00006535296],"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":[0.00002489981,0.001425856,0.0001780234,0.00003486226,0.0001173053,0.000003982349,0.01031595,0.005313742,0.009024924,0.1691879,0.2192154,0.5851572],"study_design_scores_gemma":[0.001499801,0.001264319,0.001706035,0.00002879398,0.00001447938,0.0001169045,0.000613639,0.9476273,0.01277696,0.001879315,0.03167619,0.0007962294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002682757,0.000006737455,0.9200217,0.0003882445,0.00006026061,0.0002846128,0.000006798625,0.00005516468,0.07890824],"genre_scores_gemma":[0.8697811,0.000001008161,0.1254314,0.0007310293,0.00002353686,0.00002495742,0.000003624662,0.000006943419,0.003996433],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9423136,"threshold_uncertainty_score":0.3703241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09906932144825502,"score_gpt":0.2485531844158158,"score_spread":0.1494838629675608,"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."}}