{"id":"W4400788779","doi":"10.1186/s12859-024-05865-9","title":"HEROIC: a platform for remote collection of electroencephalographic data using consumer-grade brain wearables","year":2024,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; McGill University; University Health Network","funders":"","keywords":"Computer science; Wearable computer; Neurocognitive; Scalability; Electroencephalography; Software; Human–computer interaction; Data collection; Data science; Inertial measurement unit; Technician; Protocol (science); Artificial intelligence; Embedded system; Database; Medicine; Cognition; Psychology; Neuroscience; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004348772,0.0001703779,0.0002205959,0.0003162178,0.0001659578,0.0001951898,0.0005602788,0.00009151673,0.000007491481],"category_scores_gemma":[0.0003960361,0.0001432582,0.00009163123,0.000785445,0.0001671162,0.0008232952,0.0001541668,0.0001578169,0.000008201439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003582234,"about_ca_system_score_gemma":0.0001999727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004232985,"about_ca_topic_score_gemma":0.00007574305,"domain_scores_codex":[0.9985861,0.00003183636,0.0005254066,0.0002620397,0.0002503665,0.0003442374],"domain_scores_gemma":[0.9983879,0.0008926318,0.0001558306,0.0004654022,0.00003948051,0.00005880751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008291507,0.0005921616,0.001308108,0.02000005,0.0004546904,0.00003129833,0.01426471,0.006863737,0.6547051,0.02228676,0.1200552,0.1586091],"study_design_scores_gemma":[0.0002832926,0.000170042,0.0000145548,0.0002655872,0.00002787239,0.0001183717,0.0001595523,0.9343677,0.05537037,0.001598576,0.007472073,0.0001519919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2218759,0.0006881173,0.7737186,0.000309261,0.0009922807,0.00101318,0.0003713973,0.0003191356,0.0007120803],"genre_scores_gemma":[0.580624,0.0003724248,0.4172667,0.0007127082,0.000187411,0.0000119308,0.00009559062,0.000066204,0.0006630423],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.927504,"threshold_uncertainty_score":0.5841901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1173439784505882,"score_gpt":0.334388231964429,"score_spread":0.2170442535138409,"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."}}