{"id":"W3156689690","doi":"10.1016/j.mex.2021.101347","title":"Joint recording of EEG and audio signals in hyperscanning and pseudo-hyperscanning experiments","year":2021,"lang":"en","type":"article","venue":"MethodsX","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"H2020 Marie Skłodowska-Curie Actions; H2020 European Research Council; Horizon 2020; Medical Research Council; European Research Council; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Electroencephalography; Computer science; Headphones; Speech recognition; Stimulus (psychology); Neurophysiology; Latency (audio); Psychology; Neuroscience; Cognitive psychology; Telecommunications","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":[0.0006639835,0.0001372881,0.0003393948,0.0001304601,0.00007732083,0.00006199277,0.00009615798,0.00004459955,0.00002888919],"category_scores_gemma":[0.00067773,0.0001314637,0.00003880488,0.000251695,0.0001150444,0.0001595365,0.0002133823,0.0001520723,8.741879e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000212295,"about_ca_system_score_gemma":0.00002725443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005732604,"about_ca_topic_score_gemma":0.000002007917,"domain_scores_codex":[0.9983698,0.0004861711,0.0003006101,0.0004581186,0.0001478215,0.0002375025],"domain_scores_gemma":[0.9991022,0.0005425507,0.0001033215,0.0001556271,0.00002466095,0.0000715828],"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":[0.00001028098,0.00002239542,0.002702496,0.00003591269,0.000005602259,0.00005824629,0.003330678,0.000075313,0.9670186,0.00007928203,0.00004137244,0.02661985],"study_design_scores_gemma":[0.0003422292,0.0000609081,0.002790165,0.0001993422,0.00000673897,0.00009858987,0.001065778,0.003247533,0.9912474,0.0005156649,0.0002806096,0.0001450132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917673,0.0009273514,0.00531991,0.0002503507,0.0002206008,0.00008235312,0.000002384096,0.00002326206,0.001406456],"genre_scores_gemma":[0.8844749,0.00005937684,0.1148687,0.0003421969,0.00002497713,0.00000628928,2.414371e-7,0.00001376242,0.0002095734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1095488,"threshold_uncertainty_score":0.5360935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1096610087366629,"score_gpt":0.360567225108504,"score_spread":0.2509062163718412,"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."}}