{"id":"W3144622162","doi":"10.1162/jocn_a_01715","title":"Prefrontal Lesions Disrupt Posterior Alpha–Gamma Coordination of Visual Working Memory Representations","year":2021,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Norges Forskningsråd; National Institute of Neurological Disorders and Stroke; James S. McDonnell Foundation","keywords":"Cued speech; Psychology; Working memory; Selection (genetic algorithm); Neuroscience; Alpha (finance); Electroencephalography; Feature (linguistics); Orientation (vector space); Occipital lobe; Visual processing; Communication; Cognitive psychology; Cognition; Artificial intelligence; Perception; Developmental psychology; Computer science","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":[0.00008304596,0.0003599027,0.0001547752,0.0002380846,0.0001356194,0.0001626353,0.0001108201,0.0001751522,0.001322216],"category_scores_gemma":[0.0004096022,0.0001417082,0.00008291168,0.00007118464,0.0004379161,0.0001432171,0.0002344483,0.0002311897,0.0001294553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002027846,"about_ca_system_score_gemma":0.0001378187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001341956,"about_ca_topic_score_gemma":0.001841805,"domain_scores_codex":[0.9999608,0.000004316018,0.000003862182,0.0000151907,0.000006822603,0.000009113879],"domain_scores_gemma":[0.9998091,0.00003190149,0.0001029259,0.0000189663,0.000009354839,0.00002780924],"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":[0.001406929,0.0001799532,0.03729489,0.00007397285,0.00008404105,0.001520172,0.0004836007,0.0004124084,0.930912,0.0002274295,0.0001726668,0.02723201],"study_design_scores_gemma":[0.0002055414,0.001903698,0.8029613,0.00004110898,0.0001701237,0.01026707,0.001012044,0.002502124,0.1780652,0.001700309,0.001150398,0.00002115399],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992638,0.00004687503,0.0004730568,0.000024381,0.000001249773,0.000003226219,0.00002293502,0.00001595638,0.0001485228],"genre_scores_gemma":[0.9994779,0.00003707705,0.000308803,0.000009232042,0.000001611962,0.000004870607,0.00002036248,0.000002693746,0.0001373488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001341956,"threshold_uncertainty_score":0.004423261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1556695661371578,"score_gpt":0.425886776854842,"score_spread":0.2702172107176841,"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."}}