{"id":"W3027270139","doi":"10.1016/j.neuroimage.2020.116944","title":"White matter hyperintensities are associated with subthreshold amyloid accumulation","year":2020,"lang":"en","type":"article","venue":"NeuroImage","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Instituto de Salud Carlos III; Canadian Institutes of Health Research; GE Healthcare; Johnson and Johnson; IXICO; Genentech; Janssen Research and Development; National Institutes of Health; H. Lundbeck A/S; National Institute on Aging; Fujirebio Europe; Federación Española de Enfermedades Raras; Northern California Institute for Research and Education; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; University of Southern California; Merck","keywords":"Hyperintensity; Subthreshold conduction; White matter; Amyloid (mycology); White (mutation); Neuroscience; Medicine; Psychology; Pathology; Chemistry; Magnetic resonance imaging; Physics; Biochemistry","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":[0.0005852353,0.0003162261,0.0003239868,0.0006163277,0.0001758443,0.0004409037,0.0002085788,0.0003044353,0.0009742281],"category_scores_gemma":[0.002515701,0.0003316158,0.0003311536,0.0004421439,0.0002931802,0.0002778895,0.0003289532,0.0003588972,0.000132115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001049017,"about_ca_system_score_gemma":0.0001329058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002227728,"about_ca_topic_score_gemma":0.002832485,"domain_scores_codex":[0.9997899,0.00006215441,0.00002244939,0.00006261216,0.00003026401,0.00003268988],"domain_scores_gemma":[0.9986855,0.0003023694,0.0006956662,0.0001110681,0.00007101921,0.0001343227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001088448,0.00005983779,0.9890409,0.00002618226,0.000205599,0.0003628371,0.0001595746,0.0001198668,0.005723083,0.00002224441,0.0000415322,0.003149962],"study_design_scores_gemma":[0.000003275479,0.0000818538,0.9993413,0.0000015149,0.00002535219,0.0002027929,0.00002653435,0.0001110372,0.0001573225,0.00002908986,0.00001837056,0.000001452902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996573,0.0001492498,0.00005488671,0.000006798575,0.000001310057,0.000002232642,0.00003247269,0.000003508837,0.00009220107],"genre_scores_gemma":[0.9997097,0.00006520849,0.0000848724,0.000004381627,0.000004097632,0.000002168668,0.00005436912,0.000001802665,0.00007354472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002227728,"threshold_uncertainty_score":0.004429519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08650471843860466,"score_gpt":0.2605329267050803,"score_spread":0.1740282082664757,"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."}}