{"id":"W3000072169","doi":"10.29173/hsi17","title":"Present State of Brain Machine Interfaces","year":2019,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"State (computer science); Computer science; Neuroscience; Human–computer interaction; Psychology; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001307749,0.0001490724,0.0002672983,0.000267931,0.0001700511,0.00008829156,0.001079457,0.00002182568,0.00009200392],"category_scores_gemma":[0.0001591986,0.0001172914,0.00004049185,0.0008327882,0.001090263,0.0006311304,0.0004008799,0.0001967583,0.000179577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007064438,"about_ca_system_score_gemma":0.0003884913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001219961,"about_ca_topic_score_gemma":0.00000875694,"domain_scores_codex":[0.9973924,0.0001033278,0.0004737707,0.0006619961,0.0007337719,0.000634791],"domain_scores_gemma":[0.9986675,0.0002665886,0.0002816936,0.0005013335,0.00006259195,0.0002202283],"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":[0.00008699177,0.0002890159,0.006647967,0.0004425846,0.0000034632,0.000007897243,0.01464885,0.002164746,0.8455845,0.001732456,0.01120399,0.1171876],"study_design_scores_gemma":[0.0004069691,0.0009422115,0.008693525,0.0001938925,8.226868e-7,0.00003749028,0.0002964511,0.01970381,0.9578736,0.000863059,0.01074823,0.000239926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886641,0.0001634006,0.0004989016,0.007166076,0.001854108,0.0004159618,0.00001227604,0.000075011,0.00115018],"genre_scores_gemma":[0.9944805,0.00003695161,0.0003981104,0.003962627,0.00005875096,0.000004977509,4.418208e-7,0.0000102553,0.001047417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1169477,"threshold_uncertainty_score":0.4783005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07594646796384587,"score_gpt":0.3806413807452569,"score_spread":0.3046949127814111,"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."}}