{"id":"W3002413304","doi":"10.1038/s41598-020-57617-3","title":"A Brain to Spine Interface for Transferring Artificial Sensory Information","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nickel Institute","funders":"National Institute of Neurological Disorders and Stroke; NIH Office of the Director; National Institutes of Health","keywords":"Sensory system; Neuroscience; Computer science; Spinal cord; Brain–computer interface; Interface (matter); Tactile discrimination; Sensory stimulation therapy; Psychology; Somatosensory system; Electroencephalography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005987645,0.0001435239,0.0001662593,0.0001401248,0.0002691181,0.0006395009,0.0002221711,0.00004304277,0.00004057059],"category_scores_gemma":[0.001258615,0.0001325511,0.00009731913,0.0004796551,0.00009199073,0.0006286656,0.00008116596,0.0001024664,0.000106176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002549874,"about_ca_system_score_gemma":0.00006304328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004030997,"about_ca_topic_score_gemma":0.000006041011,"domain_scores_codex":[0.9980554,0.00003810216,0.0005743681,0.0006308784,0.000372158,0.0003291153],"domain_scores_gemma":[0.9991713,0.00007445343,0.000125282,0.0003242424,0.00008701497,0.0002177148],"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":[0.00002830693,0.00001717344,0.000006685171,0.00004464145,0.000002067784,0.00002469511,0.004326561,0.001746189,0.9620235,0.000208885,0.01955704,0.01201424],"study_design_scores_gemma":[0.00007447166,0.0001073664,0.0000170035,0.00002349723,0.00000322919,0.00005411072,0.0001253661,0.006560605,0.7993433,0.0006962838,0.192854,0.0001407288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8202624,0.000006297211,0.1613178,0.01158322,0.005087544,0.0007913688,0.00001390738,0.0002147933,0.0007226698],"genre_scores_gemma":[0.9943357,1.463451e-7,0.001480313,0.003327665,0.0001518945,0.0000292362,0.000007223555,0.00001161747,0.0006562116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1740733,"threshold_uncertainty_score":0.6166722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0516352066484894,"score_gpt":0.2975610303427677,"score_spread":0.2459258236942783,"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."}}