{"id":"W2995611313","doi":"10.1016/j.trci.2019.11.002","title":"Synaptic biomarkers in CSF aid in diagnosis, correlate with cognition and predict progression in MCI and Alzheimer's disease","year":2019,"lang":"en","type":"article","venue":"Alzheimer s & Dementia Translational Research & Clinical Interventions","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; University of California, San Diego; Genentech; National Institutes of Health; H. Lundbeck A/S; Servier; Eisai; Agentschap Innoveren en Ondernemen; Northern California Institute for Research and Education; Alzheimer's Association; Fujirebio US; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; National Institute of Neurological Disorders and Stroke; IXICO; Takeda Pharmaceutical Company; AbbVie; Roche; University of Southern California; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Alzheimer's Drug Discovery Foundation; Merck; Foundation for the National Institutes of Health; GE Healthcare; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics","keywords":"Neurogranin; Neurodegeneration; Cognition; Disease; Internal medicine; Cognitive decline; Oncology; Neuroscience; Cohort; Medicine; Biomarker; Psychology; Dementia; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004092889,0.0002315226,0.0004233067,0.0009965339,0.0001032151,0.00009334118,0.0001384897,0.0001576087,0.0008565124],"category_scores_gemma":[0.0003634254,0.0002015257,0.0001816866,0.0008520117,0.0006572395,0.0004925755,0.0001323279,0.001019474,0.00005315145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002305415,"about_ca_system_score_gemma":0.0002832011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001398231,"about_ca_topic_score_gemma":0.000970368,"domain_scores_codex":[0.9953161,0.0009873912,0.001127679,0.0008118224,0.001092568,0.0006644702],"domain_scores_gemma":[0.9975107,0.001381015,0.00010101,0.0002386009,0.0003013894,0.0004673404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002682894,0.002537152,0.9505149,0.0001295581,0.003233009,0.000179743,0.00006986107,0.000005096677,0.0000307019,0.0002451244,0.00007545577,0.04029657],"study_design_scores_gemma":[0.009366807,0.001750766,0.9785695,0.003562457,0.001495669,0.00001038127,0.0001664517,0.003307274,0.0000401716,0.00129075,0.0002464171,0.0001933244],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518818,0.03955138,0.00008738526,0.00410021,0.00007302684,0.003490709,0.00005180184,0.00002384362,0.0007398754],"genre_scores_gemma":[0.9960625,0.002133711,0.0004395292,0.00008864842,0.0000295528,0.0008999152,0.000299933,0.00003126801,0.0000149238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04418075,"threshold_uncertainty_score":0.937821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1280136971180143,"score_gpt":0.4678056458831709,"score_spread":0.3397919487651566,"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."}}