{"id":"W4410023607","doi":"10.1162/imag.a.5","title":"Dynamic network features of functional and structural brain networks support visual working memory in aging adults","year":2025,"lang":"en","type":"article","venue":"Imaging Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alliance de recherche numérique du Canada","keywords":"Working memory; Neuroscience; Computer science; Cognitive psychology; Brain aging; Psychology; Cognition","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003136499,0.0002563261,0.0001627459,0.0006321071,0.0001637877,0.0004209294,0.0002458732,0.0003084824,0.001430802],"category_scores_gemma":[0.00250876,0.0001356637,0.000185554,0.0003198897,0.0001918082,0.0009322641,0.0003432974,0.0002374912,0.0001045984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002806077,"about_ca_system_score_gemma":0.0001478678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004712273,"about_ca_topic_score_gemma":0.01050205,"domain_scores_codex":[0.9999179,0.00001264074,0.000006042732,0.0000406203,0.000009623081,0.00001311359],"domain_scores_gemma":[0.9995317,0.0001210733,0.0001872817,0.00004414497,0.00006210164,0.00005369551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006327194,0.0001701733,0.8727196,0.0002087134,0.0005696574,0.0005587591,0.002937163,0.003702537,0.03154938,0.00368388,0.001512719,0.08175471],"study_design_scores_gemma":[0.000007757463,0.00008460729,0.9882734,0.00002037735,0.00009299864,0.0003215405,0.0003517305,0.004143677,0.001213902,0.004686957,0.0007905345,0.00001244509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953626,0.0005698513,0.002100991,0.00014423,0.000007829974,0.000009259336,0.0004908952,0.00001486403,0.001299431],"genre_scores_gemma":[0.9983847,0.0001360529,0.0009321133,0.00002137111,0.000008456125,0.000007290345,0.0002176197,0.000003784588,0.0002886184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004712273,"threshold_uncertainty_score":0.009369731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01157940790969376,"score_gpt":0.2742867037695075,"score_spread":0.2627072958598137,"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."}}