{"id":"W4365142548","doi":"10.1101/2023.04.10.23288366","title":"Cortical microstructural associations with CSF amyloid and pTau","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; BioClinica; F. Hoffmann-La Roche; University of Southern California; Biogen; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Pfizer; Eli Lilly and Company; Bristol-Myers Squibb; National Institute on Aging; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Amyloid (mycology); Neuroscience; Pathology; Psychology; Medicine","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":[0.0002180326,0.0004384567,0.0002321747,0.0009785775,0.0002395754,0.0007143088,0.0001623493,0.000265827,0.002611061],"category_scores_gemma":[0.001414211,0.0001938594,0.0001363051,0.0005034932,0.0003455454,0.0002781829,0.0003429459,0.0002246686,0.0002974671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001779882,"about_ca_system_score_gemma":0.0001409773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003345493,"about_ca_topic_score_gemma":0.002401333,"domain_scores_codex":[0.9998959,0.00001448987,0.00001006825,0.00003925403,0.00002279223,0.00001747773],"domain_scores_gemma":[0.9993181,0.000121517,0.0003449872,0.00006135671,0.00007862369,0.00007539105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001658809,0.00008137139,0.9310931,0.0001003435,0.000261411,0.001335742,0.0007781907,0.0005246848,0.05247679,0.0002021809,0.0003642702,0.01112309],"study_design_scores_gemma":[0.000005680527,0.00007060423,0.9948775,0.00000465226,0.00002696341,0.001100098,0.0001325977,0.0003466339,0.003028274,0.0002645502,0.0001375161,0.000004839153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989915,0.0001561255,0.0002244592,0.0000212597,0.000002680266,0.000003319489,0.0002248226,0.00001118443,0.0003644993],"genre_scores_gemma":[0.9994733,0.0000445344,0.0001658339,0.00000650332,0.000003900368,0.000002578605,0.00008334567,0.0000030021,0.0002171025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003345493,"threshold_uncertainty_score":0.008734882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08353576868100436,"score_gpt":0.361810416643113,"score_spread":0.2782746479621087,"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."}}