{"id":"W3015839066","doi":"10.1109/icassp40776.2020.9054526","title":"Sparse CSP Algorithm via Joint Spatio-Temporal Filtering","year":2020,"lang":"en","type":"article","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Overfitting; Discriminative model; Computer science; Regularization (linguistics); Algorithm; Artificial intelligence; Pattern recognition (psychology); Spatial filter; Data mining; Artificial neural network","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":[0.0009802637,0.0008934763,0.001197538,0.0007604057,0.0003851549,0.0008816029,0.001438227,0.001096024,0.003853653],"category_scores_gemma":[0.002800863,0.0004298966,0.001010042,0.001947265,0.0004505597,0.001133821,0.001405813,0.00174297,0.001889714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003877381,"about_ca_system_score_gemma":0.001736305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004153886,"about_ca_topic_score_gemma":0.004202064,"domain_scores_codex":[0.9993221,0.0001664059,0.00004575289,0.0001087014,0.0002900341,0.00006701865],"domain_scores_gemma":[0.9989589,0.0004091483,0.00009215969,0.0001262911,0.0003576126,0.00005576994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003368428,0.0001352624,0.0006160976,0.0002214403,0.0001240635,0.0001166271,0.00008845753,0.2492719,0.02010972,0.02184184,0.01313343,0.6940042],"study_design_scores_gemma":[0.00001466385,0.00003151148,0.0001209644,0.000004745478,0.000009431841,0.00005384656,0.000007031537,0.9921759,0.002414381,0.003837757,0.001322837,0.00000692391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00138379,0.00005985195,0.9976569,0.00006923311,0.00001670476,0.00002102994,0.00004722314,0.0002638368,0.0004813211],"genre_scores_gemma":[0.090904,0.0003881622,0.9030696,0.0002221403,0.0001425877,0.0002697147,0.0009009314,0.0002180913,0.003884772],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004153886,"threshold_uncertainty_score":0.01289177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0680672566083535,"score_gpt":0.2641521390599869,"score_spread":0.1960848824516334,"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."}}