{"id":"W2128824658","doi":"10.1109/iembs.1995.579416","title":"Statistically optimal filtering of averaged ABRS","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Stimulus (psychology); Speech recognition; Noise (video); Audiology; Mathematics; Artificial intelligence; Medicine; Psychology","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":[0.001297043,0.0006876601,0.0007642152,0.0006032832,0.0002552891,0.0006680583,0.0005801088,0.0006858053,0.001195505],"category_scores_gemma":[0.004707436,0.0004463047,0.0007017155,0.0003846384,0.0003847246,0.0008285314,0.0005741967,0.0007013007,0.0006730164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003901125,"about_ca_system_score_gemma":0.000837435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008426592,"about_ca_topic_score_gemma":0.001460034,"domain_scores_codex":[0.9990389,0.0002572277,0.00006823985,0.0002132517,0.0003494082,0.00007300123],"domain_scores_gemma":[0.9985155,0.000779815,0.000141564,0.0001918187,0.0003370034,0.0000343499],"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":[0.0005587793,0.0001525978,0.001154703,0.0002681329,0.0001833339,0.0001801227,0.0001908861,0.2262968,0.2661103,0.03043133,0.001565713,0.4729073],"study_design_scores_gemma":[0.00002993878,0.0001933185,0.001316197,0.0000179912,0.00005699687,0.0001861869,0.00001871412,0.9414311,0.04228275,0.01150287,0.002919442,0.00004444325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01189786,0.00009367305,0.9870862,0.00002957693,0.00001907885,0.00001182728,0.00001899437,0.0004011965,0.0004416975],"genre_scores_gemma":[0.1813572,0.0003364159,0.8158786,0.00007230888,0.00006481578,0.00009405106,0.0002313288,0.0001992746,0.001766115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001297043,"threshold_uncertainty_score":0.006859481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01647284645499537,"score_gpt":0.2015225515710114,"score_spread":0.185049705116016,"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."}}