{"id":"W2112686332","doi":"10.1088/1741-2560/7/2/026002","title":"Classification of prefrontal activity due to mental arithmetic and music imagery using hidden Markov models and frequency domain near-infrared spectroscopy","year":2010,"lang":"en","type":"article","venue":"Journal of Neural Engineering","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":159,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Holland Bloorview Kids Rehabilitation Hospital","funders":"","keywords":"Brain–computer interface; Motor imagery; Functional near-infrared spectroscopy; Computer science; Hidden Markov model; Prefrontal cortex; Mental image; Cognition; Task (project management); Brain activity and meditation; Mental arithmetic; Artificial intelligence; Speech recognition; Pattern recognition (psychology); Cognitive psychology; Psychology; Electroencephalography; 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":[0.0006260233,0.0003106472,0.0002348717,0.0002555628,0.00009786759,0.0002509783,0.0001589042,0.000248025,0.0004976023],"category_scores_gemma":[0.002550837,0.0001412657,0.0003265731,0.000144808,0.0002096787,0.0002136495,0.0002287903,0.0002440757,0.00008793244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000204757,"about_ca_system_score_gemma":0.0002180139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001909118,"about_ca_topic_score_gemma":0.00369685,"domain_scores_codex":[0.9998154,0.00007044393,0.000009659055,0.00005311361,0.00002710998,0.00002437283],"domain_scores_gemma":[0.9993669,0.0004640912,0.00008331663,0.00002501595,0.00003617293,0.00002446579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0049496,0.0007437801,0.1695967,0.0003019991,0.0004576123,0.0005687254,0.001312595,0.11959,0.3388639,0.002442309,0.0006510614,0.3605217],"study_design_scores_gemma":[0.00008996343,0.0003365095,0.121108,0.00001219867,0.00006461334,0.0002703512,0.0001080808,0.8528849,0.02307028,0.001838667,0.0001742042,0.0000421716],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9352455,0.00005569755,0.06414457,0.00004637927,0.000006490682,0.00003057829,0.00008854193,0.00006664757,0.0003154831],"genre_scores_gemma":[0.9809333,0.00004225194,0.01869531,0.00001215662,0.00000513469,0.00002368052,0.00008284109,0.000004637568,0.0002007358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001909118,"threshold_uncertainty_score":0.003796041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0269919220164667,"score_gpt":0.2599957369011586,"score_spread":0.2330038148846919,"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."}}