{"id":"W2103374058","doi":"10.1142/s0129065715500148","title":"Electrode Fusion for the Prediction of Self-Initiated Fine Movements from Single-Trial Readiness Potentials","year":2015,"lang":"en","type":"article","venue":"International Journal of Neural Systems","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; University of Toronto","funders":"","keywords":"Computer science; Electroencephalography; Artificial intelligence; Task (project management); Brain activity and meditation; Physical medicine and rehabilitation; Brain–computer interface; Pattern recognition (psychology); Psychology; Audiology; Neuroscience; Medicine","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":[0.0003820856,0.0001132194,0.0002176749,0.0001204797,0.00004650106,0.0001308126,0.0006448415,0.00004918961,0.000007064226],"category_scores_gemma":[0.0004729767,0.00007203181,0.0001284791,0.00009022539,0.00002980602,0.0003177735,0.00006232225,0.0001231454,0.000001981732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009241294,"about_ca_system_score_gemma":0.00005165595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009307011,"about_ca_topic_score_gemma":0.000003666377,"domain_scores_codex":[0.9979537,0.000173954,0.0007627949,0.0001532496,0.0008245278,0.0001318332],"domain_scores_gemma":[0.997653,0.0005544503,0.0008926547,0.0001073537,0.0007283074,0.00006421254],"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":[0.006605466,0.0003635239,0.0003817079,0.00001094706,0.0001856911,0.00002988287,0.0003711515,0.004340988,0.98272,0.0001114549,0.003415418,0.001463809],"study_design_scores_gemma":[0.0311892,0.003954143,0.001026152,0.0004199887,0.0001248591,0.0005569663,0.0002427734,0.1539229,0.7984256,0.0009282121,0.008978472,0.0002307249],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798376,0.000115229,0.006627962,0.0006975177,0.01209213,0.0003759067,0.000158188,0.00002341807,0.00007205741],"genre_scores_gemma":[0.9975826,0.00001324047,0.00007493499,0.0001200935,0.002089638,0.000008058863,0.000009352671,0.00001156524,0.00009048659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1842943,"threshold_uncertainty_score":0.2937372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104545907266363,"score_gpt":0.3149119207534773,"score_spread":0.2103660134871143,"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."}}