{"id":"W3200971141","doi":"10.3390/sym13091748","title":"Binaural Background Noise Enhances Neuromagnetic Responses from Auditory Cortex","year":2021,"lang":"en","type":"article","venue":"Symmetry","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Monaural; Binaural recording; Magnetoencephalography; Noise (video); Auditory cortex; Dichotic listening; Audiology; Acoustics; Auditory system; Psychology; Physics; Electroencephalography; Computer science; Medicine; Neuroscience","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":[0.0001605884,0.0003784713,0.0002964044,0.0002243304,0.00009909809,0.0002193122,0.000126679,0.0002341097,0.001978037],"category_scores_gemma":[0.00097154,0.0001384708,0.000110688,0.00008894775,0.0001727593,0.0002345315,0.0003792596,0.000249175,0.0002279781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001384863,"about_ca_system_score_gemma":0.0001255581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005077341,"about_ca_topic_score_gemma":0.001140696,"domain_scores_codex":[0.9998707,0.0000279837,0.000009119317,0.00002485264,0.00003885256,0.00002843701],"domain_scores_gemma":[0.9996624,0.000144748,0.00004581967,0.00002228626,0.00004175359,0.00008304405],"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":[0.0003416692,0.00002250186,0.0004145728,0.00003528853,0.000006559409,0.0000475723,0.00002444122,0.00003029877,0.9962975,0.00002213009,0.00001803814,0.002739404],"study_design_scores_gemma":[0.000151075,0.002422121,0.3982797,0.00003605826,0.0001079274,0.001443808,0.0002131537,0.002894968,0.592273,0.0007085999,0.001440844,0.0000287898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996659,0.000232192,0.001945717,0.00003507662,0.00001817039,0.00001218472,0.00003793077,0.00005074706,0.001008971],"genre_scores_gemma":[0.9979716,0.0001473551,0.001056279,0.00005397197,0.00001517197,0.00001595654,0.0000675068,0.00001746803,0.0006547231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001978037,"threshold_uncertainty_score":0.006617188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04008566354738496,"score_gpt":0.2936277398080595,"score_spread":0.2535420762606745,"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."}}