{"id":"W2803639226","doi":"10.1016/j.neuroimage.2018.05.050","title":"Functional MRI of brain physiology in aging and neurodegenerative diseases","year":2018,"lang":"en","type":"review","venue":"NeuroImage","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Neuroscience; Neuroimaging; Neurodegeneration; Brain aging; Context (archaeology); Disease; Human brain; Psychology; Medicine; Biology; Cognition; Pathology","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":[0.0007745074,0.0009711707,0.001215159,0.003614885,0.0002878162,0.0009823724,0.0008050841,0.001445076,0.003072742],"category_scores_gemma":[0.001352476,0.0003267904,0.0006077798,0.002400602,0.0007440514,0.001590895,0.0007330956,0.001419897,0.00216679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005697979,"about_ca_system_score_gemma":0.00119189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001416386,"about_ca_topic_score_gemma":0.002132355,"domain_scores_codex":[0.9997683,0.00004656675,0.00003725685,0.00004393758,0.00008398515,0.00001988017],"domain_scores_gemma":[0.9994492,0.0002940664,0.00006694043,0.00001644464,0.0001457982,0.00002752375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006242126,0.00005131334,0.0004741015,0.02422502,0.0001253373,0.0003296434,0.0001351813,0.0003550775,0.003076835,0.004817409,0.02642927,0.9399184],"study_design_scores_gemma":[0.00001148535,0.00009874881,0.003082496,0.007976536,0.0002007428,0.004995204,0.0001341977,0.0001839882,0.001545928,0.005936084,0.975791,0.00004360737],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001277989,0.9982201,0.0002074029,0.0002639653,0.0001594336,0.000004301805,0.00001744144,0.000007747008,0.000991828],"genre_scores_gemma":[0.000861895,0.9979988,0.0002721699,0.0001626242,0.0002005961,0.000006493731,0.0000260836,0.000002136911,0.0004691267],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003614885,"threshold_uncertainty_score":0.01027936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05799648008745314,"score_gpt":0.3790140341920231,"score_spread":0.32101755410457,"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."}}