{"id":"W3211533513","doi":"10.3389/fnins.2021.658930","title":"Projections and the Potential Societal Impact of the Future of Neurotechnologies","year":2021,"lang":"en","type":"review","venue":"Frontiers in Neuroscience","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"NeuroDevNet; University of British Columbia","funders":"National Institute of Nursing Research; National Institute of Mental Health; National Science Foundation; National Institutes of Health; Advanced Research Projects Agency; Air Force Office of Scientific Research; National Institute of Child Health and Human Development; Canadian Institutes of Health Research; Defense Advanced Research Projects Agency; U.S. Department of Defense","keywords":"Neuroethics; Interfacing; Computer science; Mood; Recall; Neuroscience; Psychology; Data science; Cognitive psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000103489,0.0001852596,0.000918014,0.00008749348,0.00008915419,0.00001286644,0.0003228146,0.0001438917,0.000001734452],"category_scores_gemma":[0.0002207103,0.00007396295,0.0006195644,0.0009358388,0.001462987,0.00003147103,0.0002400363,0.0004884087,6.570647e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002116337,"about_ca_system_score_gemma":0.0002357077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001231697,"about_ca_topic_score_gemma":7.253358e-7,"domain_scores_codex":[0.9988009,0.0001814495,0.0002910221,0.0003353294,0.0002210983,0.0001702025],"domain_scores_gemma":[0.9992676,0.00003930945,0.0002447452,0.0003984923,0.00002684727,0.00002300643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008900454,0.0005765271,0.005429237,0.002672299,0.0001168659,0.0001088921,0.00007962706,0.00001761877,0.00006449572,0.0004071831,0.003718028,0.9867202],"study_design_scores_gemma":[0.02076753,0.008732756,0.13253,0.01875224,0.01173195,0.003302351,0.002158401,0.002715119,0.0001189841,0.01333162,0.7836509,0.002208112],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002020127,0.9954385,0.00004674933,0.0004372745,0.0009639584,0.0009942817,0.00003074915,0.00001197843,0.00005643199],"genre_scores_gemma":[0.005453871,0.9942177,0.00009250181,0.00008482917,0.00001860192,0.00003698946,0.000001333353,0.000009330637,0.00008483594],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9845121,"threshold_uncertainty_score":0.5390437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02389927789259916,"score_gpt":0.3247737700168916,"score_spread":0.3008744921242924,"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."}}