{"id":"W3161459330","doi":"10.31234/osf.io/tzhn4","title":"Timing of brain entrainment to the speech envelope during speaking, listening and self-listening","year":2021,"lang":"en","type":"preprint","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Medical Research Council; European Commission; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Wellcome Trust","keywords":"Active listening; Speech recognition; Speech production; Neurocomputational speech processing; Speech perception; Intelligibility (philosophy); Computer science; Speech error; Perception; Motor theory of speech perception; Entrainment (biomusicology); Speech processing; Timeline; Psychology; Communication; Acoustics; Rhythm; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014524,0.0001584187,0.0001533859,0.0002850906,0.00008737209,0.0002802732,0.00009227909,0.0002067023,0.001294062],"category_scores_gemma":[0.001899942,0.00009379016,0.0001099499,0.0001381689,0.0002060526,0.000280043,0.00022882,0.0001888432,0.0003182774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006483634,"about_ca_system_score_gemma":0.00007953242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002725911,"about_ca_topic_score_gemma":0.0003671133,"domain_scores_codex":[0.999917,0.0000137821,0.000004300611,0.00002456155,0.00002803072,0.00001236648],"domain_scores_gemma":[0.9995766,0.0002461955,0.00006825899,0.00002190073,0.00004590793,0.00004112622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008631157,0.00005692732,0.01164451,0.0001143357,0.00002491402,0.0003264576,0.0008538992,0.0003835594,0.9454572,0.0003381244,0.0001206156,0.03981633],"study_design_scores_gemma":[0.00002630204,0.0006450237,0.867422,0.00003073077,0.00004244338,0.001265041,0.0003756213,0.003908716,0.1242995,0.0007230584,0.001227951,0.00003360456],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907882,0.0003499998,0.006676989,0.00001470243,0.00001515557,0.00002642841,0.00009814532,0.00007524496,0.001955262],"genre_scores_gemma":[0.9976674,0.0001086394,0.001490026,0.00001201018,0.00001203,0.00001770974,0.0001207619,0.00002602853,0.0005454444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001294062,"threshold_uncertainty_score":0.004329145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02964783621295232,"score_gpt":0.2790221601202727,"score_spread":0.2493743239073204,"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."}}