{"id":"W2979455895","doi":"10.1101/802686","title":"Brain aging comprises many modes of structural and functional change with distinct genetic and biophysical associations","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Actua; Simon Fraser University","funders":"Medical Research Council","keywords":"Brain aging; Biobank; Cognition; Aging brain; Neuroimaging; Disease; Brain activity and meditation; Neuroscience; Brain Structure and Function; Population; Homogeneous; Psychology; Brain morphometry; Cognitive aging; Biology; Medicine; Bioinformatics; Electroencephalography; Pathology; Magnetic resonance imaging","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":[0.002139684,0.000437477,0.0005267521,0.001038039,0.0002614527,0.0009328257,0.0002670705,0.0003488303,0.002204085],"category_scores_gemma":[0.003241958,0.0002481286,0.0006526271,0.000816851,0.0007159365,0.0006853346,0.0005955793,0.0004358233,0.0003086039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003096106,"about_ca_system_score_gemma":0.0002210158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002125257,"about_ca_topic_score_gemma":0.002428243,"domain_scores_codex":[0.9994481,0.000152997,0.0000418739,0.000236664,0.00007099079,0.00004942061],"domain_scores_gemma":[0.9986343,0.0005002472,0.0003769543,0.0003167786,0.0001233781,0.00004849644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006980531,0.0001120829,0.8213296,0.0003029243,0.00183809,0.0006366247,0.001372151,0.01375891,0.05061662,0.01106374,0.004158819,0.0941124],"study_design_scores_gemma":[0.00001398085,0.00008812708,0.9455848,0.00003286937,0.00020237,0.0007412836,0.0001823663,0.02324612,0.002904061,0.02486178,0.002105059,0.00003719739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643195,0.00089689,0.0311357,0.0003809228,0.00002371312,0.00002768125,0.0017636,0.0001943003,0.001257656],"genre_scores_gemma":[0.9949666,0.0001572097,0.003636204,0.00004602247,0.00001538767,0.00002270594,0.0007106677,0.00003782753,0.000407355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002204085,"threshold_uncertainty_score":0.01131588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03508957911163677,"score_gpt":0.2338460620553415,"score_spread":0.1987564829437047,"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."}}