{"id":"W2122003336","doi":"10.1109/tnsre.2006.875585","title":"BCI meeting 2005-workshop on clinical issues and applications","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Brain–computer interface; Government (linguistics); Computer science; Interface (matter); State (computer science); Engineering ethics; Human–computer interaction; Psychology; Engineering; Electroencephalography; 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":[0.009855481,0.001439364,0.00071906,0.002154642,0.002698113,0.004928823,0.002392245,0.006447201,0.02508173],"category_scores_gemma":[0.0105718,0.0004734996,0.0009896655,0.001362429,0.0008463273,0.002471657,0.00407827,0.005301513,0.01371749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002591945,"about_ca_system_score_gemma":0.005719756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003179609,"about_ca_topic_score_gemma":0.007858305,"domain_scores_codex":[0.9969774,0.0009290453,0.0002707474,0.0003063552,0.001123207,0.000393141],"domain_scores_gemma":[0.9953467,0.0006149226,0.0001947999,0.0001798164,0.002343614,0.001320032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004253679,0.0002725704,0.000714868,0.0003383977,0.0000248714,0.000943481,0.0007514632,0.0003968871,0.002846549,0.00379319,0.7480699,0.2414225],"study_design_scores_gemma":[0.00007154209,0.0002438224,0.001583421,0.000403262,0.00002125973,0.001118784,0.0006682915,0.0005368626,0.002007185,0.002573642,0.9907265,0.00004542412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.03511167,0.07997667,0.06081182,0.4318871,0.131039,0.003075547,0.004790386,0.002132687,0.251175],"genre_scores_gemma":[0.2113829,0.05008895,0.07892933,0.06799956,0.04090883,0.004447267,0.009702572,0.00149459,0.535046],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02508173,"threshold_uncertainty_score":0.08390671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02061236689409951,"score_gpt":0.2901964517987628,"score_spread":0.2695840849046633,"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."}}