{"id":"W1562432672","doi":"10.3389/fnsys.2015.00072","title":"Future think: cautiously optimistic about brain augmentation using tissue engineering and machine interface","year":2015,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Collaboration On Repair Discoveries; University of Victoria","funders":"","keywords":"Brain–computer interface; Interface (matter); Computer science; Volume (thermodynamics); Brain size; Neuroscience; Artificial intelligence; Psychology; Medicine; Operating system; Magnetic resonance imaging; Physics; Radiology","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":[0.0084169,0.00109127,0.0009752347,0.001032952,0.003614108,0.00877603,0.002195557,0.01533774,0.01259262],"category_scores_gemma":[0.01678438,0.0004524877,0.001169306,0.0005296506,0.010596,0.01756963,0.003521999,0.03871012,0.008213837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002739963,"about_ca_system_score_gemma":0.003480845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003263926,"about_ca_topic_score_gemma":0.006244258,"domain_scores_codex":[0.996433,0.001083295,0.0001965547,0.0005219869,0.001481772,0.0002834367],"domain_scores_gemma":[0.9907481,0.003552496,0.0003425356,0.0004982442,0.003440476,0.001418223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009174256,0.00004538412,0.0002446503,0.0002255706,0.00002827402,0.0001785815,0.00076002,0.0001437726,0.0006282885,0.04768633,0.9141184,0.03584905],"study_design_scores_gemma":[0.00002254603,0.00005732671,0.0001551325,0.0003872466,0.00002311469,0.0005021244,0.001436644,0.0002828183,0.0006359001,0.06692763,0.9295104,0.00005913501],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0002790082,0.02324174,0.00354501,0.9298682,0.03722368,0.000007256285,0.00003615532,0.0001738676,0.005624991],"genre_scores_gemma":[0.01592275,0.02867457,0.007749523,0.8358021,0.0497776,0.00006094016,0.00006528192,0.0004945659,0.0614526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01533774,"threshold_uncertainty_score":0.0445134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03221872486590428,"score_gpt":0.2779203034571744,"score_spread":0.2457015785912702,"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."}}