{"id":"W2978765218","doi":"10.1101/791657","title":"White matter hyperintensities and neuropsychiatric symptoms in Alzheimer’s disease and mild cognitive impairment","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; Montreal Neurological Institute and Hospital; Discovery Centre; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Hyperintensity; Grey matter; Atrophy; White matter; Cognitive impairment; Alzheimer's disease; Disease; Psychology; Medicine; Cardiology; Magnetic resonance imaging; Internal medicine; Pathology; Audiology; Radiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005953931,0.0004087906,0.0003484341,0.001117833,0.0003011832,0.0004594787,0.0001753848,0.0003673884,0.001873783],"category_scores_gemma":[0.001092645,0.0001244054,0.0002020801,0.0006087126,0.0003291301,0.0002287772,0.0003671672,0.0002887319,0.0001917892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002416976,"about_ca_system_score_gemma":0.0002851004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002139284,"about_ca_topic_score_gemma":0.002259691,"domain_scores_codex":[0.999859,0.00004129373,0.00002167123,0.00002715169,0.00003383051,0.00001699185],"domain_scores_gemma":[0.9994937,0.00008531739,0.0002403741,0.00002354412,0.00004315576,0.0001138987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001262374,0.0002434857,0.9809654,0.0001295578,0.0001885487,0.0006472488,0.0002605863,0.00009683981,0.003306572,0.00008206032,0.0004244318,0.01239302],"study_design_scores_gemma":[0.000007788613,0.00007864361,0.999108,0.000009892535,0.00001861608,0.0003260439,0.00005038473,0.00005561864,0.0001428543,0.0001028219,0.00009762288,0.000001625271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968461,0.001798578,0.00007172592,0.0001551994,0.00001376225,0.000009649905,0.0001660785,0.000005440391,0.0009334422],"genre_scores_gemma":[0.9987587,0.0003760451,0.000195809,0.00006383915,0.00005422331,0.000008783498,0.0001917802,0.000001591265,0.000349344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002139284,"threshold_uncertainty_score":0.006268442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363996220317691,"score_gpt":0.2511943862885204,"score_spread":0.2375544240853435,"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."}}