{"id":"W2889870209","doi":"10.1162/neco_a_01129","title":"Robust Closed-Loop Control of a Cursor in a Person with Tetraplegia using Gaussian Process Regression","year":2018,"lang":"en","type":"article","venue":"Neural Computation","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Institute of General Medical Sciences; National Institute on Deafness and Other Communication Disorders; National Institute of Mental Health","keywords":"Computer science; Artificial intelligence; Discriminative model; Gaussian process; Pattern recognition (psychology); Kalman filter; Artificial neural network; Machine learning; Gaussian","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":[0.000509263,0.0007135614,0.0005449756,0.0002847633,0.0002558564,0.0003954117,0.0005030339,0.0005201714,0.001100634],"category_scores_gemma":[0.003398986,0.0002304206,0.0003572931,0.0001867797,0.0003207625,0.000352596,0.000478862,0.0007167711,0.0004634561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002895184,"about_ca_system_score_gemma":0.0007293653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01101628,"about_ca_topic_score_gemma":0.01036909,"domain_scores_codex":[0.9996773,0.00005098319,0.00001867791,0.000143047,0.00007399781,0.0000359308],"domain_scores_gemma":[0.999568,0.0001883089,0.00007145974,0.00004040037,0.0001047836,0.00002694707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007768061,0.0003965843,0.01421614,0.0002431885,0.0001786469,0.0007908206,0.000549412,0.4929694,0.06179758,0.00282517,0.002243401,0.4230128],"study_design_scores_gemma":[0.0000191143,0.0001758799,0.005191867,0.00001514204,0.00001909298,0.0001743211,0.00003097593,0.9867187,0.005908937,0.001239677,0.0004873181,0.00001895311],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1952677,0.000245177,0.7989119,0.0003275716,0.0000503423,0.0001017467,0.0001352166,0.002790569,0.002169747],"genre_scores_gemma":[0.9623508,0.00007506267,0.03616339,0.00004429162,0.000010085,0.00005503048,0.0001037394,0.00005447018,0.001143139],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01101628,"threshold_uncertainty_score":0.02190429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06800557053398823,"score_gpt":0.3145970744488667,"score_spread":0.2465915039148785,"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."}}