{"id":"W4401767490","doi":"10.61186/nl.3.2.1","title":"Level of CSF GAP-43 and white matter microstructural changes in Alzheimer's disease","year":2024,"lang":"en","type":"article","venue":"Neurology Letters","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; Pfizer; Novartis Pharmaceuticals Corporation; University of Southern California; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; BioClinica; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Alzheimer's Association","keywords":"White matter; Alzheimer's disease; Disease; Medicine; Internal medicine; Magnetic resonance imaging","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004809835,0.0001562538,0.0002238375,0.0002334581,0.00002436052,0.00001660247,0.00005880235,0.00005458567,0.0002223175],"category_scores_gemma":[0.000009594076,0.0001261937,0.00005714997,0.000127402,0.0002547773,0.00006345039,0.00006216941,0.0002220642,0.00006501663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009445728,"about_ca_system_score_gemma":0.00004534767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005550906,"about_ca_topic_score_gemma":0.00003440648,"domain_scores_codex":[0.9989519,0.00007171242,0.0001403423,0.000350782,0.0001530854,0.0003321538],"domain_scores_gemma":[0.9994785,0.00005903498,0.00002270624,0.0001973338,0.00001713893,0.0002253237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009264125,0.00006655431,0.9799117,0.0001401755,0.001251207,0.003982131,0.0001548186,0.000001729151,0.004623817,0.00001153854,0.007615733,0.001314114],"study_design_scores_gemma":[0.000978218,0.0001846972,0.9970493,0.00004468155,0.0004321381,0.0001417576,0.000005381747,0.00009998185,0.0005419081,0.00006248346,0.0003690549,0.00009039492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9175183,0.006105364,0.000002044275,0.07574575,0.0001291832,0.0002827183,0.0001187994,0.00002540432,0.00007247988],"genre_scores_gemma":[0.985691,0.00008423268,0.00003336404,0.01399762,0.00007731534,0.00002931224,0.00004542889,0.00002602224,0.00001576459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06817269,"threshold_uncertainty_score":0.5146028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05089543972353316,"score_gpt":0.3102229639073928,"score_spread":0.2593275241838597,"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."}}