{"id":"W4386494478","doi":"10.1109/msp.2023.3293574","title":"Table of Contents","year":2023,"lang":"en","type":"article","venue":"IEEE Signal Processing Magazine","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Instituto Superior Técnico; Università di Bologna; Universidade de Lisboa; Institut Polytechnique de Paris; Kungliga Tekniska Högskolan; Queen's University; Sharif University of Technology; Microsoft Research; Universidade Estadual Paulista; National Science Foundation; Bar-Ilan University; Yonsei University; Durham University; Université de Nantes; Queen's University Belfast; Imperial College London; Deutsches Zentrum für Luft- und Raumfahrt; Télécom Paris; McGill University; University of Pittsburgh; Emory University; Tsinghua University; Chalmers Tekniska Högskola; Microsoft","keywords":"Table (database); Computer science; Data mining","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001678191,0.00008401288,0.0001170943,0.0001309595,0.00005154605,0.0001492322,0.0003710716,0.00002026355,0.00001870494],"category_scores_gemma":[0.000009864802,0.00007741267,0.00002783395,0.000884524,0.00002958523,0.0009451878,0.00005938706,0.00004180487,0.0002588071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008726503,"about_ca_system_score_gemma":0.00007046878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003706535,"about_ca_topic_score_gemma":0.00000106311,"domain_scores_codex":[0.9990801,0.00001613899,0.0002244574,0.0001975124,0.000266789,0.0002150021],"domain_scores_gemma":[0.9995536,0.00002772044,0.0001015405,0.0001367969,0.0001306381,0.00004970899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001611929,0.00007849045,0.0004615175,0.0001652768,0.00001641296,0.00002286168,0.0004501363,0.0002008604,0.4610831,0.002493061,0.03609114,0.4989211],"study_design_scores_gemma":[0.002438158,0.0007170234,0.01097297,0.0003950124,0.00002503444,0.00003676418,0.00009366264,0.4232276,0.5036171,0.02687011,0.03082052,0.0007860452],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02029496,0.00007247395,0.960322,0.0004204703,0.000272148,0.0001743214,0.00001181602,0.000434751,0.01799707],"genre_scores_gemma":[0.9929125,0.000002996708,0.003507868,0.000154209,0.0000358305,0.00000613684,0.000009760066,0.000008351718,0.003362385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9726175,"threshold_uncertainty_score":0.3326528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05166047083387617,"score_gpt":0.2902932708819976,"score_spread":0.2386328000481215,"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."}}