{"id":"W3128255375","doi":"10.1007/978-3-030-62368-5_7","title":"Infinite Impulse Response Filters","year":2021,"lang":"en","type":"book-chapter","venue":"Digital Signal Processing","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Infinite impulse response; Bilinear transform; Low-pass filter; 2D Filters; Prototype filter; High-pass filter; Analogue filter; Digital filter; Network synthesis filters; Butterworth filter; m-derived filter; Linear filter; Mathematics; Control theory (sociology); Band-pass filter; Computer science; Electronic engineering; Filter (signal processing); Engineering; Artificial intelligence","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002089736,0.0004703205,0.0003743839,0.0002777228,0.0001529385,0.004279766,0.0008013594,0.0001772428,0.0001624177],"category_scores_gemma":[0.00003926348,0.0004853762,0.0002167517,0.0001586521,0.00008878674,0.003828924,0.0004850558,0.0002993465,0.0002065599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001275397,"about_ca_system_score_gemma":0.0004915284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.437999e-7,"about_ca_topic_score_gemma":3.886581e-7,"domain_scores_codex":[0.9975595,0.00002355995,0.0005646035,0.0007751869,0.0006563254,0.000420799],"domain_scores_gemma":[0.9986194,0.0001671742,0.0003307729,0.0004341012,0.0002417278,0.0002068152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008464746,0.00002666995,0.000004023776,0.00008567339,0.00004169809,0.0002574495,0.0003052389,0.000006568963,0.0003954888,0.01558801,0.002446496,0.980758],"study_design_scores_gemma":[0.001150632,0.0007518297,0.00007092879,0.002010174,0.00005613883,0.0003772379,0.00008274458,0.01268605,0.001110855,0.07652747,0.9024589,0.002717003],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006583006,0.0005101544,0.320942,0.0003176772,0.0001636421,0.0002268674,0.0001067116,0.0003179683,0.6773492],"genre_scores_gemma":[0.464542,0.00001565757,0.002058153,0.00135053,0.0002433316,0.00001619078,0.000439033,0.0001237844,0.5312113],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9780411,"threshold_uncertainty_score":0.9997598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03178489713849237,"score_gpt":0.2574520907837956,"score_spread":0.2256671936453032,"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."}}