{"id":"W2925195493","doi":"10.1002/brb3.1263","title":"The roles of alpha oscillation in working memory retention","year":2019,"lang":"en","type":"article","venue":"Brain and Behavior","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":167,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Magnetoencephalography; Alpha (finance); Working memory; Encoding (memory); Neuroscience; Psychology; Local field potential; Electroencephalography; Audiology; Cognition; Medicine; Developmental 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":[0.0002039491,0.00004934791,0.00006097749,0.00004417942,0.00006380668,0.0000295905,0.00005604444,0.00003203759,0.00001161475],"category_scores_gemma":[0.00007175501,0.00003464161,0.00002405726,0.0001241474,0.00004047772,0.00007246657,0.00002728166,0.00006432751,0.000004931718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001003552,"about_ca_system_score_gemma":0.000005765915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006801868,"about_ca_topic_score_gemma":0.00007109885,"domain_scores_codex":[0.999449,0.0000569406,0.000129753,0.0001537714,0.0001162345,0.00009435992],"domain_scores_gemma":[0.9996513,0.0001641874,0.00006276116,0.00009854423,0.000008519951,0.00001467852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002008733,0.00002548914,0.02992673,0.000005850517,2.679772e-7,0.000001621891,0.0000784061,0.000008375143,0.8907503,0.001212011,0.00002261991,0.07794828],"study_design_scores_gemma":[0.0009232258,0.0001962944,0.9164995,0.00008562836,0.00001590014,0.00001995752,0.000377988,0.005645751,0.07319514,0.0008332323,0.002010888,0.0001965207],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984139,0.00002788852,0.000005897143,0.0003769649,0.0002834362,0.0002137198,0.000001355416,0.00001147201,0.00066539],"genre_scores_gemma":[0.9985899,0.00002853729,0.000009443266,0.0001171186,0.00001658195,0.00000820593,0.00000130003,0.000004920248,0.001223943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8865727,"threshold_uncertainty_score":0.1412644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0296811466464828,"score_gpt":0.2572355857633357,"score_spread":0.2275544391168529,"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."}}