{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003426456,0.0003651435,0.0002755548,0.0003748694,0.0003815252,0.0009553655,0.000940115,0.0004155278,0.002477855],"category_scores_gemma":[0.0007554524,0.0003130716,0.0003064975,0.0002388963,0.0004324115,0.0006634665,0.0005066753,0.0006223284,0.0008420011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005280718,"about_ca_system_score_gemma":0.0006465061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000566506,"about_ca_topic_score_gemma":0.001035993,"domain_scores_codex":[0.9997242,0.00002968344,0.00001839759,0.00003512522,0.0001715905,0.00002094057],"domain_scores_gemma":[0.9998077,0.00003681149,0.00002748262,0.00004441737,0.0000731435,0.00001040377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001296657,0.00008145775,0.0005343556,0.000348553,0.00002916821,0.0001466528,0.0004064634,0.06279858,0.3761176,0.158088,0.001755355,0.3995641],"study_design_scores_gemma":[0.00008407756,0.0003710072,0.00037178,0.00005823383,0.0000342547,0.0005673398,0.00008806228,0.644992,0.2499143,0.02803484,0.07542837,0.00005574949],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003008201,0.00004965307,0.9937764,0.00002843637,0.00001978103,0.00003656415,0.00001351662,0.0002445817,0.002822943],"genre_scores_gemma":[0.1074633,0.0001638711,0.8885252,0.00005354229,0.0000202752,0.0001039815,0.00004973315,0.00007036901,0.003549578],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002477855,"threshold_uncertainty_score":0.008289278,"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."}}