{"id":"W2758141809","doi":"10.1088/1741-2552/aa8e05","title":"Ethics in published brain–computer interface research","year":2017,"lang":"en","type":"review","venue":"Journal of Neural Engineering","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"NeuroDevNet; University of British Columbia","funders":"Canadian Institutes of Health Research; Japan Nuclear Energy Safety Organization; Canada Research Chairs; Fondation Brain Canada; Kids Brain Health Network; National Science Foundation","keywords":"Interface (matter); Engineering ethics; Brain–computer interface; Human research; Neuroethics; Computer science; Human brain; Psychology; Cognitive science; Engineering; Neuroscience","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003616903,0.0004152077,0.001556595,0.001427937,0.0001216415,0.0009288896,0.002529661,0.0004400818,0.00001432372],"category_scores_gemma":[0.006595408,0.000310209,0.0005056273,0.0004951635,0.00009697893,0.0009037768,0.0006128543,0.00777137,0.00001953922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002166059,"about_ca_system_score_gemma":0.0002923719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004127874,"about_ca_topic_score_gemma":0.000001887003,"domain_scores_codex":[0.995942,0.0006578945,0.001404574,0.000456395,0.0009089168,0.0006302026],"domain_scores_gemma":[0.9938567,0.004380984,0.0008125824,0.0005549287,0.0001962207,0.0001985506],"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":[0.00001389793,0.00008146564,0.000001640843,0.008753998,0.00004664911,0.001516188,0.0005770357,0.004705712,0.0006359483,0.0001576176,0.005403326,0.9781065],"study_design_scores_gemma":[0.0002020938,0.0002151132,0.000004592091,0.0174245,0.00001935971,0.001682532,0.00000384529,0.01004851,0.0001545729,0.00002464229,0.9699275,0.0002927147],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005148355,0.9919835,0.0009322984,0.001560685,0.004472945,0.0003207339,0.000005752338,0.00004345008,0.0001657929],"genre_scores_gemma":[0.00206387,0.9947811,0.000931231,0.0001247284,0.00167093,0.00000652847,6.066713e-7,0.00009403806,0.0003269991],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9778138,"threshold_uncertainty_score":0.999935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3504819074687519,"score_gpt":0.4783285929979338,"score_spread":0.1278466855291819,"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."}}