{"id":"W1912589144","doi":"10.3389/fnagi.2015.00155","title":"Elevated body mass index and maintenance of cognitive function in late life: exploring underlying neural mechanisms","year":2015,"lang":"en","type":"article","venue":"Frontiers in Aging Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; Vancouver Coastal Health Research Institute; University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC; Alzheimer's Society","keywords":"Default mode network; Functional magnetic resonance imaging; Body mass index; Overweight; Cognition; Finger tapping; Psychology; Effects of sleep deprivation on cognitive performance; Working memory; Medicine; Audiology; Neuroscience; Internal medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006442725,0.0002088232,0.0002990062,0.0005355731,0.0001392179,0.00006256451,0.0002420603,0.00004561308,6.638534e-7],"category_scores_gemma":[0.01288294,0.0002170737,0.00002965505,0.00146243,0.0004129949,0.0008180421,0.0001877153,0.0003561222,9.503468e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001058809,"about_ca_system_score_gemma":0.00008789845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005511124,"about_ca_topic_score_gemma":0.00001784224,"domain_scores_codex":[0.9975997,0.0002354047,0.0003280904,0.0008398845,0.0005039521,0.0004929262],"domain_scores_gemma":[0.9986616,0.0008076243,0.0001639048,0.0001686018,0.00006776379,0.0001305398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007650247,0.0001848544,0.3912477,0.00007973918,0.000006711079,0.0001977623,0.002520629,0.01932961,0.5790384,0.002036888,0.0002727666,0.004319909],"study_design_scores_gemma":[0.003705887,0.0006443781,0.4426829,0.0004418698,0.00002086709,0.00002585699,0.004399239,0.4757976,0.04504272,0.02642124,0.0001093521,0.0007081291],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9258677,0.00007945907,0.0697483,0.0007243052,0.003027534,0.0003102064,0.000006592013,0.00007767251,0.0001582785],"genre_scores_gemma":[0.9978426,0.00005132026,0.0003592444,0.001587757,0.00001550499,0.00005043735,4.064709e-7,0.0000200672,0.00007264068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5339956,"threshold_uncertainty_score":0.995432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09878102299724684,"score_gpt":0.2763984391464198,"score_spread":0.1776174161491729,"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."}}