{"id":"W4402894358","doi":"10.3389/fnins.2024.1485472","title":"Editorial: New approaches in Brain-Machine Interfaces with implants","year":2024,"lang":"en","type":"editorial","venue":"Frontiers in Neuroscience","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; University of Calgary","funders":"European Regional Development Fund; Ministerio de Ciencia e Innovación; Agencia Estatal de Investigación; Basque Center for Applied Mathematics; Eusko Jaurlaritza","keywords":"Brain implant; Computer science; Brain–computer interface; Neuroscience; Human–computer interaction; Artificial intelligence; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00452829,0.003844671,0.003134558,0.003545508,0.002522848,0.006830179,0.004096681,0.01471287,0.02424773],"category_scores_gemma":[0.01718519,0.001137122,0.003459542,0.001683085,0.003570232,0.00608268,0.001547724,0.01741062,0.01979309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002353598,"about_ca_system_score_gemma":0.002189478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001086183,"about_ca_topic_score_gemma":0.002462655,"domain_scores_codex":[0.993827,0.000770962,0.0006901177,0.0008768931,0.003412672,0.0004223927],"domain_scores_gemma":[0.9808508,0.009167744,0.001043755,0.0004950037,0.006200565,0.00224196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004700033,0.00001454549,0.00001884669,0.0002877571,0.00001313648,0.00007006803,0.000009075016,0.00003436366,0.00008774498,0.000579853,0.9901384,0.00869916],"study_design_scores_gemma":[0.00003356389,0.00004422299,0.0001451697,0.0002948243,0.00002259626,0.000193722,0.00001867027,0.0001226843,0.0001380273,0.001060601,0.9979092,0.00001671211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003147357,0.00637191,0.0001873068,0.02011197,0.971183,0.00001441542,0.00004403957,0.00006847358,0.00198734],"genre_scores_gemma":[0.0002351425,0.005053493,0.00008655046,0.0124102,0.9764832,0.00001162667,0.0000251159,0.00003748434,0.005657237],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02424773,"threshold_uncertainty_score":0.08111674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02783916946098291,"score_gpt":0.2615958688834699,"score_spread":0.2337566994224869,"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."}}