{"id":"W3030044213","doi":"10.1101/2020.05.27.119586","title":"The Temporal Relationships between White Matter Hyperintensities, Neurodegeneration, Amyloid β, and Cognition","year":2020,"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":"McGill University; Montreal Neurological Institute and Hospital; Université Laval; University of Alberta; Centres Intégré Universitaires de Santé et de Services Sociaux","funders":"National Institutes of Health; H. Lundbeck A/S; Northern California Institute for Research and Education; Canadian Institutes of Health Research; University of Southern California; Novartis Pharmaceuticals Corporation; Meso Scale Diagnostics; Servier; Pfizer; Foundation for the National Institutes of Health","keywords":"Hyperintensity; Neurodegeneration; Cognitive decline; White matter; Atrophy; Alzheimer's disease; Psychology; Context (archaeology); Neuroscience; Cognition; Dementia; Medicine; Pathology; Internal medicine; Disease; Magnetic resonance imaging; Biology","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":[0.007807074,0.000688906,0.003559333,0.00322432,0.0003669462,0.001846893,0.0007330735,0.0008697312,0.00285833],"category_scores_gemma":[0.04432654,0.0006824788,0.004830943,0.004761809,0.0005732715,0.001287194,0.0008121774,0.0008406206,0.0002281753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001709171,"about_ca_system_score_gemma":0.00468602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0139417,"about_ca_topic_score_gemma":0.03420473,"domain_scores_codex":[0.9934514,0.002655271,0.002023404,0.0007449122,0.0009379735,0.0001871685],"domain_scores_gemma":[0.9655115,0.02303006,0.007852696,0.0005156103,0.002818512,0.0002716031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.001349347,0.00003735066,0.03160314,0.8302603,0.06701883,0.0001893055,0.00034128,0.0003248819,0.0004183978,0.0003509696,0.003785552,0.06432069],"study_design_scores_gemma":[0.0009529723,0.0007717026,0.2099594,0.4636805,0.291786,0.001064418,0.0006483043,0.0005448892,0.0007232098,0.00176306,0.0279879,0.0001177007],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.005543158,0.9929161,0.0001252136,0.0002973348,0.0001147863,0.00008524002,0.0006401775,0.000006170475,0.000271821],"genre_scores_gemma":[0.1828816,0.8131119,0.001038819,0.001045025,0.000313011,0.0005151026,0.0007733701,0.00001120773,0.0003099451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0139417,"threshold_uncertainty_score":0.04128826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03278518193756182,"score_gpt":0.250275105932745,"score_spread":0.2174899239951832,"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."}}