{"id":"W4375948231","doi":"10.1016/j.neuropsychologia.2023.108584","title":"The effects of speech masking on neural tracking of acoustic and semantic features of natural speech","year":2023,"lang":"en","type":"article","venue":"Neuropsychologia","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Baycrest Hospital; University of Toronto; Western University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Speech perception; Speech recognition; Intelligibility (philosophy); Active listening; Background noise; Computer science; Psychology; Perception; Speech processing; Masking (illustration); Communication","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002423063,0.000151887,0.000217017,0.000172208,0.0001402712,0.00002924144,0.000390515,0.00005400836,0.000002166149],"category_scores_gemma":[0.002088373,0.0001024773,0.00007493277,0.0008111299,0.0004956184,0.0001065078,0.0001006616,0.0003117576,0.000004864579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000051882,"about_ca_system_score_gemma":0.000009938827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004727733,"about_ca_topic_score_gemma":0.000002556765,"domain_scores_codex":[0.9983557,0.0002026387,0.0002841394,0.0004327082,0.0004248406,0.0002999874],"domain_scores_gemma":[0.9980677,0.001255768,0.0002256085,0.0003763395,0.00003835039,0.00003621262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006717199,0.00003421876,0.000347947,0.00009199672,0.00000118005,0.00009153749,0.0001545432,0.00002849101,0.9593558,0.000129331,0.0002271137,0.03947072],"study_design_scores_gemma":[0.0003021142,0.0005492519,0.4144108,0.00007651222,0.00001279553,0.0001088667,0.00004065234,0.0004328765,0.5837758,0.0001846192,0.00002207754,0.00008362453],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972335,0.0000284677,0.000007272123,0.0001941339,0.001787792,0.0002727981,0.000003953684,0.0000622752,0.0004098065],"genre_scores_gemma":[0.9992096,0.0001436343,0.00001055594,0.000355802,0.00005228928,0.000003609468,4.106448e-7,0.00001658844,0.0002074542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4140628,"threshold_uncertainty_score":0.4178903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02677096234018227,"score_gpt":0.3092514720026674,"score_spread":0.2824805096624852,"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."}}