{"id":"W2921959246","doi":"10.1002/acn3.745","title":"Novel <scp>CSF</scp> biomarkers in genetic frontotemporal dementia identified by proteomics","year":2019,"lang":"en","type":"article","venue":"Annals of Clinical and Translational Neurology","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"National Institute on Aging; Medical Research Council; Stichting Dioraphte; Medicinska Forskningsrådet; Alzheimer Nederland; EU Joint Programme – Neurodegenerative Disease Research; Karolinska Institutet; Ministero della Salute; Stockholms Läns Landsting; Instituto de Salud Carlos III; Ministry of Health; ZonMw; Hjärnfonden; Gun och Bertil Stohnes Stiftelse","keywords":"Frontotemporal dementia; C9orf72; Medicine; Proteomics; Mutation; Biomarker; Chromogranin A; Quantitative proteomics; Dementia; Internal medicine; Biology; Genetics; Disease; Gene; Immunohistochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003664466,0.0006610615,0.000343116,0.001150811,0.0003473488,0.0005911207,0.0001866207,0.0004349807,0.0005842227],"category_scores_gemma":[0.000569327,0.000130921,0.0002168445,0.0005010324,0.0003266114,0.0002272951,0.0003009235,0.0001718499,0.000148957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003105936,"about_ca_system_score_gemma":0.0002332624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001746162,"about_ca_topic_score_gemma":0.001621221,"domain_scores_codex":[0.9998609,0.000015833,0.00001736537,0.00003664689,0.00004420931,0.00002500798],"domain_scores_gemma":[0.9998081,0.00002959449,0.00007523807,0.000007559389,0.0000491756,0.00003035564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001780127,0.0001259779,0.6165215,0.0002591976,0.0002549143,0.008369536,0.0003823871,0.0003625099,0.339088,0.0001934732,0.0009182704,0.03174407],"study_design_scores_gemma":[0.00003885624,0.0004972949,0.9635723,0.00005638021,0.0001429967,0.0113065,0.0002900281,0.001514374,0.02102234,0.0002852071,0.001256901,0.00001687422],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981943,0.000885527,0.0003354491,0.00004641497,0.000009303664,0.000008852534,0.0001830875,0.00001837975,0.0003187031],"genre_scores_gemma":[0.9982567,0.0002773866,0.001011974,0.00005305053,0.00001490137,0.000007904691,0.0002245925,0.000003289018,0.000150206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001746162,"threshold_uncertainty_score":0.00347203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09467743148968186,"score_gpt":0.3947202314062091,"score_spread":0.3000427999165273,"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."}}