{"id":"W2947056593","doi":"10.1016/j.dadm.2019.03.002","title":"Nonparenchymal fluid is the source of increased mean diffusivity in preclinical Alzheimer's disease","year":2019,"lang":"en","type":"article","venue":"Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Genentech; National Institutes of Health; H. Lundbeck A/S; Alzheimer's Disease Neuroimaging Initiative; GE Healthcare; Alzheimer's Disease Research Center, Emory University; Servier; Pfizer; BioClinica; Biogen; Eli Lilly and Company; U.S. Department of Defense; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; Roche; Merck; Alzheimer's Drug Discovery Foundation; Takeda Pharmaceutical Company; AbbVie; National Institute on Aging; Alzheimer's Association","keywords":"White matter; Perivascular space; Magnetic resonance imaging; Interstitial fluid; Diffusion MRI; Pathology; Parenchyma; Cognitive decline; Hyperintensity; Cerebrospinal fluid; Thermal diffusivity; Pathological; Pathophysiology; Medicine; Disease; Dementia; Radiology; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0005388377,0.0004283421,0.0003102953,0.001101498,0.0001977059,0.0005080337,0.0002367127,0.0002534894,0.001006323],"category_scores_gemma":[0.001364615,0.0001518211,0.000128931,0.0004171044,0.0003345943,0.0005006591,0.0003805518,0.0002333211,0.0001520799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00017477,"about_ca_system_score_gemma":0.0002320833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009538598,"about_ca_topic_score_gemma":0.001300307,"domain_scores_codex":[0.9999098,0.00001890926,0.00001136492,0.00002703274,0.00002243554,0.00001058876],"domain_scores_gemma":[0.9993839,0.000113701,0.0003485357,0.0000423786,0.00006253042,0.00004886449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002410456,0.0001957478,0.7944973,0.0003180942,0.000199409,0.002047474,0.0005873849,0.0006865765,0.1536862,0.0002997646,0.0004146412,0.04465685],"study_design_scores_gemma":[0.0000175822,0.0002428342,0.9677868,0.0000377789,0.00009747076,0.004811751,0.0001901768,0.002013711,0.0233759,0.0006856633,0.0007236483,0.0000168154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977232,0.0007249375,0.00101792,0.00004286801,0.000003931612,0.000008661463,0.0001009371,0.00002733998,0.0003502861],"genre_scores_gemma":[0.9984695,0.0001991935,0.001085776,0.000008331381,0.000008610007,0.000004556016,0.00007643938,0.000006098036,0.000141579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001101498,"threshold_uncertainty_score":0.00336653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08263600615335222,"score_gpt":0.3967723127486974,"score_spread":0.3141363065953452,"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."}}