{"id":"W4396829240","doi":"10.3791/66859","title":"Motor Imagery Performance through Embodied Digital Twins in a Virtual Reality-Enabled Brain-Computer Interface Environment","year":2024,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"College Ahuntsic","funders":"","keywords":"Brain–computer interface; Motor imagery; Virtual reality; Avatar; Embodied cognition; Computer science; Human–computer interaction; Personalization; Immersion (mathematics); Interface (matter); Rehabilitation; Virtual machine; Electroencephalography; Psychology; Artificial intelligence; 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":[0.0002090873,0.0003312035,0.0002489805,0.0001837334,0.0001313538,0.0004879416,0.0003517268,0.0002531277,0.00204782],"category_scores_gemma":[0.0008341026,0.0001145907,0.000231035,0.00009569219,0.0003277405,0.0005555665,0.001039917,0.000211373,0.0002586423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001080064,"about_ca_system_score_gemma":0.0001382334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002817355,"about_ca_topic_score_gemma":0.0002982108,"domain_scores_codex":[0.9998197,0.00005621802,0.00001181121,0.00004220385,0.00004501128,0.00002499882],"domain_scores_gemma":[0.9999056,0.00003631253,0.00001588387,0.00001383597,0.0000103297,0.00001798384],"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":[0.002205547,0.000974891,0.003299703,0.000540388,0.0001073807,0.0009980384,0.003366529,0.01142527,0.7965087,0.006770306,0.0009316947,0.1728716],"study_design_scores_gemma":[0.000557719,0.01788244,0.0486188,0.0002228002,0.0007164834,0.005934059,0.003602842,0.2161089,0.6676737,0.007624934,0.03075487,0.0003024302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534225,0.0001849435,0.04228189,0.00006131886,0.00003998338,0.0000592907,0.00003508914,0.0001473066,0.003767679],"genre_scores_gemma":[0.9717658,0.0001212759,0.02536035,0.00002873449,0.000004557143,0.00004943859,0.00003967224,0.00002248888,0.002607771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00204782,"threshold_uncertainty_score":0.0068506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03816673132994896,"score_gpt":0.3755964750791981,"score_spread":0.3374297437492492,"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."}}