{"id":"W4403381219","doi":"10.1093/brain/awae315","title":"Enhancing cognitive performance prediction by white matter hyperintensity connectivity assessment","year":2024,"lang":"en","type":"article","venue":"Brain","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Eisai; ZonMw; Deutsche Forschungsgemeinschaft; Servier; EU Joint Programme – Neurodegenerative Disease Research; Northern California Institute for Research and Education; DoD Alzheimer's Disease Neuroimaging Initiative; BioClinica; Biogen; Pfizer; Novartis Pharmaceuticals Corporation; University of Southern California; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; National Institute on Aging; Alzheimer's Association","keywords":"Cognition; Hyperintensity; Effects of sleep deprivation on cognitive performance; White matter; Psychology; Connectome; Cognitive test; Medicine; Magnetic resonance imaging; Neuroscience; Functional connectivity; Radiology","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":[0.0004468841,0.0001924874,0.0001794867,0.0001029825,0.0003122944,0.0002018436,0.0001123365,0.00005871191,0.0003548221],"category_scores_gemma":[0.002169288,0.0001837787,0.00007202151,0.0003273642,0.0001414947,0.0007599266,0.0001791896,0.0003260922,0.0004206494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002028741,"about_ca_system_score_gemma":0.00006779448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001973471,"about_ca_topic_score_gemma":0.00002186127,"domain_scores_codex":[0.9982931,0.0001701549,0.0001788842,0.0007264992,0.0003335199,0.0002978366],"domain_scores_gemma":[0.9955243,0.004152102,0.00004015455,0.0001563908,0.00006648157,0.00006058225],"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":[0.0001064574,0.0001842706,0.1684747,0.0003393711,0.00006379036,0.00004776401,0.0006680071,0.00004311499,0.5544776,0.0006247654,0.2712986,0.003671575],"study_design_scores_gemma":[0.000567326,0.0003784132,0.6112596,0.000417877,0.00004236936,0.0001944926,0.0003398957,0.01403744,0.3404183,0.000419118,0.03137752,0.0005476879],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613656,0.00005832696,0.009427101,0.0135705,0.001322144,0.0003447835,0.0001933848,0.0003827448,0.01333545],"genre_scores_gemma":[0.9860487,0.00001953708,0.0000405037,0.009723708,0.0001713316,0.00008859155,0.000009554186,0.00002767614,0.003870409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4427848,"threshold_uncertainty_score":0.7494277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01976594703079424,"score_gpt":0.2669376671466874,"score_spread":0.2471717201158932,"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."}}