{"id":"W2770111460","doi":"10.1002/hbm.23857","title":"Cognitive abilities, brain white matter hyperintensity volume, and structural network connectivity in older age","year":2017,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; Scottish Funding Council; Age UK; Medical Research Council Canada; Brain Research Imaging Centre, University of Edinburgh; Mrs Gladys Row Fogo Charitable Trust","keywords":"Connectome; Cognition; Psychology; Human Connectome Project; Effects of sleep deprivation on cognitive performance; Brain size; Cohort; White matter; Connectomics; Tractography; Information processing; Neuroscience; Working memory; Hyperintensity; Cognitive psychology; Magnetic resonance imaging; Medicine; Functional connectivity","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0007714666,0.0003236412,0.0004584667,0.000125623,0.002233106,0.0004004636,0.0003040024,0.0001045422,0.0002660613],"category_scores_gemma":[0.01122964,0.0003425567,0.00008425533,0.0001199507,0.00102596,0.0006080139,0.000671527,0.0004625076,0.00004168749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001088044,"about_ca_system_score_gemma":0.00002485535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002751938,"about_ca_topic_score_gemma":0.001296512,"domain_scores_codex":[0.9974271,0.0003798096,0.0002969699,0.001009057,0.0002667442,0.0006202886],"domain_scores_gemma":[0.9946853,0.004399216,0.0002175545,0.0005273235,0.00007650911,0.00009411236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004838085,0.00002936661,0.9671314,0.00007881367,0.00001733656,0.0001177329,0.002422302,0.00003348991,0.01326661,0.002128638,0.01445307,0.0002728725],"study_design_scores_gemma":[0.0009291468,0.00004741528,0.9849054,0.0001481329,0.000005399742,0.00004819054,0.0006202295,0.0004706141,0.00008344658,0.01115147,0.001199302,0.0003913227],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766987,0.00002291761,0.0003187626,0.01577251,0.0004143755,0.000538719,0.0000271385,0.0000882679,0.006118624],"genre_scores_gemma":[0.9826406,0.00000118165,0.00005552467,0.0133194,0.0003150159,0.0000456919,0.000004415021,0.00003323609,0.003584885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01777395,"threshold_uncertainty_score":0.9999027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04874817685143177,"score_gpt":0.281603435575934,"score_spread":0.2328552587245022,"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."}}