{"id":"W3082225743","doi":"10.1109/embc44109.2020.9175801","title":"Designing a flexible tool for rapid implementation of brain-computer interfaces (BCI) in game development","year":2020,"lang":"en","type":"article","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Brain–computer interface; Computer science; Human–computer interaction; Interface (matter); Asset (computer security); Oddball paradigm; Cognition; Multimedia; Electroencephalography; Event-related potential; Psychology; Computer security; Neuroscience; 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":[0.003020132,0.001272738,0.0005225298,0.001580281,0.0002954733,0.001154375,0.002243401,0.0008933677,0.00726263],"category_scores_gemma":[0.0160432,0.0006349909,0.0004604132,0.0004683401,0.0006675419,0.001935939,0.002222499,0.0007851633,0.003605356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002650228,"about_ca_system_score_gemma":0.0005733321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000687981,"about_ca_topic_score_gemma":0.0009854602,"domain_scores_codex":[0.9984072,0.0004579577,0.0001643889,0.0003385815,0.0004962605,0.0001356582],"domain_scores_gemma":[0.9938815,0.003527261,0.0003713114,0.00107411,0.0008658533,0.0002800497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006373446,0.0006733405,0.008437801,0.0009178834,0.00008267331,0.001119335,0.001525359,0.00554117,0.09642524,0.005748856,0.0123696,0.8665214],"study_design_scores_gemma":[0.0006894543,0.003743068,0.0440458,0.0009508291,0.0003050912,0.006748956,0.001048168,0.3689009,0.3347489,0.01797136,0.2202985,0.0005489924],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03582679,0.000141707,0.9315381,0.0002018842,0.00007330464,0.001731773,0.0004057404,0.02516681,0.00491379],"genre_scores_gemma":[0.1568353,0.0001439871,0.8357608,0.0001559723,0.00002515537,0.001680191,0.0005469497,0.001185699,0.003665892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00726263,"threshold_uncertainty_score":0.02429587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06835936248084448,"score_gpt":0.3245228101487603,"score_spread":0.2561634476679158,"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."}}