{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004894608,0.0002906418,0.0002255595,0.0007139018,0.0002105632,0.0003996161,0.0001533084,0.0003114601,0.001205447],"category_scores_gemma":[0.001284664,0.000127469,0.0001692917,0.0003770143,0.0002062747,0.0002699302,0.0003114862,0.000262895,0.0001879144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001408782,"about_ca_system_score_gemma":0.0001246399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001360212,"about_ca_topic_score_gemma":0.0007734796,"domain_scores_codex":[0.9998693,0.00002644366,0.00001649782,0.00003810554,0.00003347514,0.00001609619],"domain_scores_gemma":[0.9994441,0.0001172013,0.0002665016,0.00002713351,0.00008187768,0.00006317773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001230872,0.00006742096,0.9852447,0.00006516821,0.0002060012,0.000301419,0.0001516904,0.0001196698,0.007521266,0.00004181746,0.0001004354,0.004949424],"study_design_scores_gemma":[0.000005946675,0.0001198583,0.9981776,0.000007816287,0.00004115782,0.0004427221,0.00006953545,0.0002156466,0.000730019,0.0000609116,0.0001260914,0.000002592134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989417,0.0006474843,0.00009026974,0.00001550802,0.000003541018,0.000002030478,0.0000920289,0.000005246438,0.0002020405],"genre_scores_gemma":[0.9994673,0.0001185787,0.0001593088,0.000007491972,0.000004558,0.000003818738,0.00009825447,0.000002246829,0.0001384679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001360212,"threshold_uncertainty_score":0.004032612,"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."}}