{"id":"W3113276407","doi":"10.1002/alz.041618","title":"Network‐level relationships between cortical neurodegeneration and FDG‐PET hypometabolism across clinical and A/T/N subgroups in AD","year":2020,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Neuroimaging; Atrophy; Disease; Psychology; Connectome; Concordance; Alzheimer's Disease Neuroimaging Initiative; White matter; Pathological; Neuroscience; Neurodegeneration; Medicine; Alzheimer's disease; Pathology; Internal medicine; Functional connectivity; Magnetic resonance imaging; Radiology","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":[0.0008147613,0.0004800317,0.0003744793,0.00132467,0.0004494172,0.0008248142,0.0004602853,0.0004591348,0.002849797],"category_scores_gemma":[0.003444302,0.0002012097,0.0004648159,0.0008979047,0.0004682794,0.0008326041,0.0007343682,0.000426928,0.0002674418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004067163,"about_ca_system_score_gemma":0.0001949315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004770317,"about_ca_topic_score_gemma":0.007278865,"domain_scores_codex":[0.9996122,0.00008105023,0.00004605511,0.000168528,0.00003950057,0.00005284249],"domain_scores_gemma":[0.9981641,0.0004439598,0.0007849932,0.0002451039,0.0001912047,0.0001705905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001283874,0.00006681434,0.9843035,0.00006652588,0.0007259321,0.0001893589,0.0003081904,0.001306416,0.004055758,0.0003066594,0.0004296682,0.006957171],"study_design_scores_gemma":[0.00001359363,0.00007483338,0.9943138,0.00001271713,0.00015679,0.0004205544,0.0001546472,0.002560935,0.0004937496,0.001595505,0.00019452,0.00000828659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977831,0.0002910602,0.000673021,0.00005946726,0.000004644272,0.00001113113,0.0006380868,0.00001403405,0.0005254325],"genre_scores_gemma":[0.9990821,0.00005154652,0.0002807456,0.00001194178,0.000006385985,0.00001150475,0.0004157037,0.000005990519,0.000133994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004770317,"threshold_uncertainty_score":0.009533465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2296356421251829,"score_gpt":0.3402680003731325,"score_spread":0.1106323582479496,"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."}}