{"id":"W4220780393","doi":"10.21203/rs.3.rs-1451802/v1","title":"Grey Matter Changes On Brain MRI In Subjective Cognitive Decline: A Systematic Review","year":2022,"lang":"en","type":"review","venue":"Research Square","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grey matter; Voxel-based morphometry; Entorhinal cortex; Neuropsychology; Magnetic resonance imaging; Meta-analysis; Cognition; Voxel; Psychology; Neuroimaging; Sample size determination; Population; Medicine; Hippocampus; Neuroscience; Pathology; Statistics; Radiology; Mathematics; White matter; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00483809,0.001169343,0.007253435,0.004542182,0.0003991813,0.001983087,0.00133478,0.001545354,0.003005554],"category_scores_gemma":[0.02133784,0.0006684287,0.005701053,0.005326339,0.0006897466,0.001377041,0.0008528522,0.0007699181,0.0002091452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613677,"about_ca_system_score_gemma":0.003750377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005684586,"about_ca_topic_score_gemma":0.01511486,"domain_scores_codex":[0.9967539,0.001144994,0.001064503,0.0003613831,0.0005629304,0.0001122002],"domain_scores_gemma":[0.9861448,0.01014809,0.002474723,0.0001948927,0.000914882,0.0001227001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002779171,0.00001337474,0.001562875,0.9552464,0.01672578,0.00008435607,0.0001031156,0.0000808508,0.0001492066,0.0001121904,0.0009604989,0.02468353],"study_design_scores_gemma":[0.000491281,0.0003192669,0.01613513,0.7489967,0.2213956,0.0005397941,0.0002620981,0.0001559736,0.0002728194,0.0004630222,0.01091798,0.00005039191],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0012209,0.9981707,0.00006916585,0.0001084388,0.00005062372,0.000101209,0.0001530021,0.000004685853,0.0001211575],"genre_scores_gemma":[0.03472957,0.963737,0.0004101887,0.0003974446,0.0001066462,0.000319187,0.0002016192,0.000003807504,0.00009449342],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007253435,"threshold_uncertainty_score":0.02558661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.108568915884205,"score_gpt":0.4804181235567839,"score_spread":0.3718492076725789,"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."}}