{"id":"W2254425039","doi":"10.1088/1741-2560/13/2/026008","title":"Partially supervised P300 speller adaptation for eventual stimulus timing optimization: target confidence is superior to error-related potential score as an uncertain label","year":2016,"lang":"en","type":"article","venue":"Journal of Neural Engineering","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; University of Toronto","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Retraining; Computer science; Classifier (UML); Artificial intelligence; Speech recognition; Machine learning","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":[0.0002221769,0.0002083134,0.0002644404,0.0001940164,0.00008892276,0.0001214242,0.0003736519,0.00007328868,0.0001960364],"category_scores_gemma":[0.0004602555,0.0001563102,0.0001116678,0.0002104764,0.00002763552,0.0008918219,0.00004925745,0.0001563063,0.00001194517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005893325,"about_ca_system_score_gemma":0.00007608238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004815141,"about_ca_topic_score_gemma":0.000001029858,"domain_scores_codex":[0.9983714,0.00005594982,0.0005759877,0.0002846625,0.0003728724,0.0003391626],"domain_scores_gemma":[0.9990332,0.0002189355,0.0001688831,0.0001419301,0.0002002358,0.0002368174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001232677,0.00002736392,0.00001069788,0.00001170839,0.000009742949,0.0000475026,0.000673781,0.64983,0.3477952,0.00004187817,0.00007368825,0.001355119],"study_design_scores_gemma":[0.001183168,0.0008293682,0.00008142109,0.0001842116,0.00001939592,0.0002462817,0.00006793571,0.8719875,0.1250082,0.00003890914,0.000151883,0.0002018012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6563446,0.00002668889,0.3407391,0.001822082,0.0008118807,0.0001998628,0.0000127072,0.00003829084,0.000004823294],"genre_scores_gemma":[0.9784886,0.000009110302,0.02053288,0.0004509479,0.0002722124,0.00000463452,0.000001338588,0.00003588183,0.0002043373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3221441,"threshold_uncertainty_score":0.6374146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05767297135245397,"score_gpt":0.2924276580384937,"score_spread":0.2347546866860398,"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."}}