{"id":"W4366742697","doi":"10.1038/s41598-023-33045-x","title":"Discovery of novel CSF biomarkers to predict progression in dementia using machine learning","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Janssen Alzheimer Immunotherapy Research And Development; Johnson and Johnson Pharmaceutical Research and Development; National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Genentech; National Institutes of Health; IXICO; H. Lundbeck A/S; Eisai; Servier; Pfizer; Biogen; BioClinica; Alzheimer Nederland; EU Joint Programme – Neurodegenerative Disease Research; Northern California Institute for Research and Education; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; University of Southern California; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; F. Hoffmann-La Roche; Alzheimer's Drug Discovery Foundation; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Alzheimer's Association; Selfridges Group Foundation; Stichting Dioraphte; Foundation for the National Institutes of Health","keywords":"Dementia; Biomarker; Random forest; Cognitive decline; Cognition; Oncology; Medicine; Internal medicine; Machine learning; Psychology; Bioinformatics; Artificial intelligence; Computer science; Biology; Psychiatry; Disease","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":[0.002211559,0.0008546184,0.001002358,0.001988381,0.0002286163,0.001015996,0.000305376,0.0005015709,0.000448247],"category_scores_gemma":[0.005129512,0.000174853,0.0006765933,0.0008699267,0.0002921422,0.0008057964,0.0003898834,0.0008398411,0.0002742428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003286444,"about_ca_system_score_gemma":0.000620015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006706764,"about_ca_topic_score_gemma":0.001016801,"domain_scores_codex":[0.9996027,0.0001529392,0.00004034471,0.0000797519,0.00007719249,0.00004699254],"domain_scores_gemma":[0.9984009,0.0008939314,0.0003827068,0.00008758612,0.0001634772,0.00007134098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001371847,0.0007421733,0.4054971,0.0006346614,0.0009675724,0.0005320896,0.0002424852,0.05699309,0.05504844,0.00146008,0.001844683,0.4746659],"study_design_scores_gemma":[0.0001753169,0.003268247,0.3090541,0.0004369415,0.0009984594,0.001999925,0.0003456139,0.6081379,0.05127593,0.01936429,0.004749471,0.0001938583],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8541936,0.01454803,0.1272767,0.0007776989,0.0000940477,0.000185355,0.000854448,0.000684409,0.001385762],"genre_scores_gemma":[0.915216,0.002148618,0.08140273,0.0001189178,0.00009454167,0.00007818571,0.0005971913,0.00002493115,0.0003188164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002211559,"threshold_uncertainty_score":0.01169598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04678963575113908,"score_gpt":0.3582721504332755,"score_spread":0.3114825146821364,"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."}}