{"id":"W4245482454","doi":"10.32920/ryerson.14647923","title":"Bio-feedback of audio-entrainment by the pertinence of neuro-technology","year":2021,"lang":"en","type":"preprint","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Monaural; Headphones; Entrainment (biomusicology); Binaural recording; Electroencephalography; Tone (literature); Acoustics; Audiology; Perception; Speech recognition; Psychology; Computer science; Rhythm; Physics; Medicine; Neuroscience","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":[0.0001371775,0.000360583,0.0001718781,0.000266503,0.0001784346,0.0005446808,0.0002487252,0.0003344055,0.009268057],"category_scores_gemma":[0.001290628,0.00009940076,0.0001157471,0.0002179326,0.0002474312,0.000501378,0.0006666594,0.0002599729,0.001602844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001992088,"about_ca_system_score_gemma":0.0001448658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004102634,"about_ca_topic_score_gemma":0.0004154932,"domain_scores_codex":[0.9998767,0.00001873777,0.000005261294,0.00002228355,0.00006138445,0.00001561961],"domain_scores_gemma":[0.9996964,0.00009346334,0.00004768635,0.00003153102,0.00008948895,0.00004154968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007654249,0.0001636842,0.002435899,0.0003594822,0.00003887061,0.001423651,0.0003813714,0.009986115,0.7644352,0.02569317,0.004701735,0.1896153],"study_design_scores_gemma":[0.0002737903,0.002079744,0.08517119,0.0003457711,0.0001439106,0.007070866,0.001066026,0.2933027,0.384047,0.13706,0.08929851,0.0001404821],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.573208,0.004728758,0.3256123,0.002082635,0.001245925,0.0001053731,0.0005372953,0.003093785,0.08938603],"genre_scores_gemma":[0.9740376,0.0007862344,0.007352859,0.0001790603,0.00009696942,0.00002216117,0.00005964788,0.00009347095,0.01737204],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.009268057,"threshold_uncertainty_score":0.03100473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02355938738105005,"score_gpt":0.2607189493289315,"score_spread":0.2371595619478814,"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."}}