{"id":"W2159188627","doi":"10.1109/tcsi.2011.2143190","title":"Type-Based Group Delay Equalization Technique","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems I Regular Papers","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Distortion (music); Group delay and phase delay; Filter (signal processing); Computer science; Electronic engineering; Equalization (audio); Nonlinear distortion; Phase distortion; Analogue filter; Control theory (sociology); Algorithm; Mathematics; Digital filter; Telecommunications; Engineering; Amplifier; Bandwidth (computing)","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":[0.0001455392,0.0001495101,0.0001678637,0.00009594597,0.00009488241,0.0000287908,0.00007417697,0.0001454477,0.00004691725],"category_scores_gemma":[0.000002156475,0.000135668,0.00005102595,0.000174419,0.0000428731,0.00008045277,2.648131e-7,0.000120711,0.00001868112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004365694,"about_ca_system_score_gemma":0.0000157493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003939608,"about_ca_topic_score_gemma":0.00001744263,"domain_scores_codex":[0.9992663,0.00004065688,0.000201574,0.0001743893,0.0001335902,0.0001834649],"domain_scores_gemma":[0.9996025,0.00003132479,0.00002164172,0.0001882294,0.00002823103,0.0001281016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001104898,0.0006430845,0.0001170189,0.002998258,0.0008968766,0.0001354442,0.003204276,0.1822579,0.6801546,0.03949982,0.0003274757,0.08965472],"study_design_scores_gemma":[0.003507965,0.001616654,0.0009549877,0.001812612,0.0006072822,0.000354459,0.001560837,0.557444,0.3807375,0.0004406668,0.04765617,0.003306787],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0156645,0.0005483712,0.958008,0.000006445684,0.0009397718,0.0005332299,0.00001844923,0.000704673,0.02357659],"genre_scores_gemma":[0.9994691,0.00009309573,0.0001302954,0.00004152226,0.00001786076,0.00008816686,0.000002844059,0.00004251947,0.0001145784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9838046,"threshold_uncertainty_score":0.5532379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02356874683393336,"score_gpt":0.2084996398303317,"score_spread":0.1849308929963983,"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."}}