{"id":"W2169823255","doi":"10.1109/icassp.2006.1661421","title":"Detection of Hand Extension Movements in the Context of a 3-State Asynchronous Brain Interface","year":2006,"lang":"en","type":"article","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Asynchronous communication; Computer science; Brain–computer interface; Context (archaeology); Movement (music); State (computer science); Electroencephalography; Interface (matter); Range (aeronautics); Speech recognition; Artificial intelligence; Neuroscience; Psychology; Algorithm; Computer network; Engineering; Operating system","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":[0.0002627857,0.0003316917,0.0002178747,0.0002740099,0.0001054068,0.0003007892,0.0001811398,0.0003000786,0.000743716],"category_scores_gemma":[0.001226392,0.00008293493,0.00009112759,0.0001344225,0.0001439543,0.000222743,0.0001723824,0.0002093447,0.0001660423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008390926,"about_ca_system_score_gemma":0.0001120554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003374829,"about_ca_topic_score_gemma":0.000699023,"domain_scores_codex":[0.9998286,0.00004453626,0.00001224622,0.00004148481,0.00005744713,0.00001567206],"domain_scores_gemma":[0.9995133,0.0002490858,0.00007099224,0.00003293075,0.00009604792,0.00003763895],"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":[0.001783781,0.0002009734,0.02679356,0.0001531891,0.00006169204,0.0005049524,0.0003603917,0.005245409,0.7831571,0.000653957,0.0004315939,0.1806534],"study_design_scores_gemma":[0.0002217995,0.003052239,0.1852996,0.0000366541,0.0001775123,0.003651198,0.0002206243,0.4017619,0.4003838,0.001778571,0.003310861,0.0001052655],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8138897,0.0000706868,0.1841059,0.00005074215,0.00002751136,0.00005970117,0.00009051453,0.0004858928,0.00121915],"genre_scores_gemma":[0.9712039,0.00003087361,0.02827475,0.00002225096,0.000009538001,0.00003441409,0.00004646839,0.000008724576,0.0003691007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000743716,"threshold_uncertainty_score":0.002487957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751964656182966,"score_gpt":0.2610140094138984,"score_spread":0.2434943628520687,"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."}}