{"id":"W4212829065","doi":"10.1126/sciadv.abj9782","title":"Supramodality of neural entrainment: Rhythmic visual stimulation causally enhances auditory working memory performance","year":2022,"lang":"en","type":"article","venue":"Science Advances","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; International Laboratory for Brain, Music and Sound Research; Université Laval; Montreal Neurological Institute and Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Working memory; Entrainment (biomusicology); Rhythm; Neuroscience; Stimulus (psychology); Cognition; Stimulus modality; Electroencephalography; Psychology; Cognitive psychology; Sensory system; Computer science; Physics","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":[0.00009153178,0.0002179501,0.000162722,0.0001409613,0.00003902389,0.0001332857,0.000152692,0.0001430052,0.001429873],"category_scores_gemma":[0.0003662083,0.00007016094,0.0001160312,0.00006296607,0.0001987401,0.0001395645,0.0001988856,0.0002566174,0.0001183145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007067983,"about_ca_system_score_gemma":0.00008708063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001608909,"about_ca_topic_score_gemma":0.0002396908,"domain_scores_codex":[0.9999456,0.000009278509,0.000004737639,0.00001449778,0.00001374844,0.00001206051],"domain_scores_gemma":[0.9998502,0.00004864652,0.00003749069,0.00002526359,0.000008288916,0.0000300171],"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":[0.0004970776,0.000065837,0.0002798899,0.00002113748,0.000006287578,0.00002602813,0.000009007339,0.00004086553,0.9940658,0.00003870521,0.00001773846,0.004931529],"study_design_scores_gemma":[0.000121333,0.005353426,0.07728716,0.00002003623,0.00008843888,0.0004498026,0.00006529213,0.002742986,0.912205,0.0008824973,0.0007720143,0.00001199285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961088,0.0002904876,0.002662418,0.00004683303,0.00001913614,0.000009511967,0.00004270935,0.00006699149,0.0007530415],"genre_scores_gemma":[0.9986035,0.0001111382,0.000845919,0.00002817547,0.000007992899,0.000009800803,0.00003117655,0.000009344005,0.0003530087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001429873,"threshold_uncertainty_score":0.004783452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03767366057387274,"score_gpt":0.3327007330186056,"score_spread":0.2950270724447329,"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."}}