{"id":"W7098029771","doi":"","title":"Communications Lab, University of Toronto Experiment 4: FIR Filters","year":2016,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Finite impulse response; Digital filter; Filter (signal processing); Filter design; Cascaded integrator–comb filter; Impulse response","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001348547,0.0005827053,0.0005973137,0.0003301389,0.001505516,0.0008539171,0.0007533582,0.001024694,0.09644331],"category_scores_gemma":[0.007674822,0.0003427207,0.0002207989,0.0003824702,0.00077143,0.0009068949,0.0005875881,0.001070988,0.01445785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207711,"about_ca_system_score_gemma":0.002357687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03008821,"about_ca_topic_score_gemma":0.04008416,"domain_scores_codex":[0.9990423,0.0001319065,0.00005043329,0.0002116986,0.0004462597,0.0001174231],"domain_scores_gemma":[0.9942778,0.001600513,0.0001762203,0.001272797,0.001956942,0.0007156983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.03597443,0.008110724,0.0352263,0.001975869,0.0002002027,0.001872987,0.00331794,0.0094711,0.1544598,0.01518503,0.4526106,0.2815949],"study_design_scores_gemma":[0.006142138,0.04138923,0.1971094,0.0005685879,0.0006683766,0.003061855,0.004172244,0.0187701,0.1513065,0.0121063,0.5642544,0.0004507627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6703362,0.0006941624,0.03126355,0.004034119,0.003115305,0.002667153,0.02118618,0.005929556,0.2607738],"genre_scores_gemma":[0.7402552,0.0004998888,0.02026327,0.001627384,0.0002296472,0.001590517,0.008513336,0.0006464386,0.2263743],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09644331,"threshold_uncertainty_score":0.322635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0405474275635034,"score_gpt":0.2698206627072552,"score_spread":0.2292732351437518,"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."}}