{"id":"W1546495042","doi":"10.5281/zenodo.34764","title":"An Improved Partial Haar Dual Adaptive Filter For Sparse Echo Cancellation","year":2007,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Echo (communications protocol); Dual (grammatical number); Filter (signal processing); Adaptive filter; Haar; Computer science; Artificial intelligence; Algorithm; Computer vision; Computer network; Wavelet; Philosophy","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":[0.0005669433,0.0004097018,0.0005722669,0.0005870431,0.0002830531,0.0004670555,0.000652688,0.0008224498,0.002076057],"category_scores_gemma":[0.00128223,0.0002512227,0.0005034313,0.0004377271,0.0002708593,0.0008271486,0.0004687676,0.0007939923,0.0008537442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001612236,"about_ca_system_score_gemma":0.0003854063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005547487,"about_ca_topic_score_gemma":0.001089549,"domain_scores_codex":[0.999671,0.00005375761,0.00001655468,0.00006573174,0.0001713867,0.00002162781],"domain_scores_gemma":[0.9995284,0.0001517207,0.00002623128,0.0000615586,0.0002016945,0.00003033948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003450648,0.00009452368,0.0008859064,0.0002125454,0.00009747601,0.000146951,0.00009988412,0.03321343,0.2762028,0.02097734,0.002187207,0.6655369],"study_design_scores_gemma":[0.00004849725,0.0002439792,0.001167866,0.00001861102,0.00007225767,0.0006446781,0.00002151047,0.9310049,0.04678566,0.003875742,0.01606222,0.0000540063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004112612,0.0001420232,0.9948332,0.0000495703,0.00004662577,0.00001169292,0.00001580516,0.0001361846,0.0006523404],"genre_scores_gemma":[0.1106889,0.0003601532,0.8837382,0.0001523678,0.0001243727,0.00005251366,0.0001178465,0.00004997107,0.004715643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002076057,"threshold_uncertainty_score":0.006945133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03867467033186181,"score_gpt":0.2596870802285121,"score_spread":0.2210124098966502,"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."}}