{"id":"W4386469754","doi":"10.1126/scitranslmed.adg4122","title":"A protein panel in cerebrospinal fluid for diagnostic and predictive assessment of Alzheimer’s disease","year":2023,"lang":"en","type":"article","venue":"Science Translational Medicine","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":69,"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; Siemens Medical Solutions USA; National Heart, Lung, and Blood Institute; Pfizer; Novartis Pharmaceuticals Corporation; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; BioClinica; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; National Institute on Aging; Alzheimer's Association","keywords":"Cerebrospinal fluid; Dementia; Medicine; Disease; Neuroimaging; Alzheimer's disease; Alzheimer's Disease Neuroimaging Initiative; Biomarker; Oncology; Internal medicine; Pathophysiology; Pathology; Bioinformatics; Psychiatry; Biology","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":[0.00232319,0.001466831,0.001070677,0.002698364,0.0005915927,0.001569948,0.0005597074,0.001053828,0.001155586],"category_scores_gemma":[0.004045322,0.000342715,0.0005754826,0.001404063,0.0003380291,0.0006514883,0.0007694099,0.0008607341,0.0009410681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003051039,"about_ca_system_score_gemma":0.000629637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001147302,"about_ca_topic_score_gemma":0.001634518,"domain_scores_codex":[0.9980856,0.0006038955,0.0001913549,0.0003692334,0.0006276912,0.0001222703],"domain_scores_gemma":[0.9984981,0.00034188,0.0002917085,0.0001156319,0.0005625128,0.0001900821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005366955,0.001013319,0.4136241,0.0006639942,0.0008851507,0.001930212,0.0003927962,0.002443317,0.4374204,0.0005025349,0.008355856,0.1274014],"study_design_scores_gemma":[0.0005629271,0.005889085,0.6224073,0.0006060321,0.001466566,0.009250251,0.0005460121,0.03262487,0.2986103,0.002529545,0.02522239,0.0002847331],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552315,0.009396832,0.02090743,0.000781038,0.0005203693,0.000586196,0.008373189,0.0008936776,0.003309851],"genre_scores_gemma":[0.9578798,0.002055935,0.03346342,0.0005247944,0.000234344,0.0003135018,0.00434154,0.00005988624,0.001126747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002698364,"threshold_uncertainty_score":0.01228637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.081266712805841,"score_gpt":0.3982922328486723,"score_spread":0.3170255200428314,"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."}}