{"id":"W2943423326","doi":"10.1016/j.jalz.2019.03.007","title":"Inflammatory biomarkers in Alzheimer's disease plasma","year":2019,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":206,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H. Lundbeck A/S; University College London Hospitals NHS Foundation Trust; University of Toronto; ZonMw; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Institute for Health and Care Research; Wellcome Trust; South London and Maudsley NHS Foundation Trust; Medical Research Council; Biogen; Fujirebio Europe; Alzheimer's Association; National Science Foundation; Wellcome; Menzies Centre for Australian Studies, King's College London, University of London; Eli Lilly and Company; Pfizer","keywords":"Biomarker; Oncology; Medicine; Context (archaeology); Cohort; Internal medicine; Logistic regression; Apolipoprotein E; Disease; Cognitive impairment; Alzheimer's disease; Immunology; 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":[0.003262704,0.0006211684,0.0006426029,0.001383214,0.0002802545,0.001037525,0.0003087375,0.0003916749,0.001328389],"category_scores_gemma":[0.002777764,0.0001694817,0.0002387729,0.001297488,0.0005162275,0.0004443291,0.0003825546,0.0005303136,0.0002637015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003996169,"about_ca_system_score_gemma":0.0008475307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006753899,"about_ca_topic_score_gemma":0.000500608,"domain_scores_codex":[0.9991923,0.0003582075,0.00008142657,0.0001577622,0.0001654526,0.00004477912],"domain_scores_gemma":[0.9985556,0.00063484,0.0004693681,0.00005491822,0.000191705,0.00009364596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006848273,0.0005718796,0.6407409,0.003329707,0.000777086,0.001057663,0.0003951525,0.002515609,0.03899798,0.002249929,0.004579386,0.2979364],"study_design_scores_gemma":[0.0006444798,0.007107689,0.8760058,0.001535862,0.001240115,0.008398625,0.0007912199,0.005003459,0.04675761,0.01470318,0.03768564,0.0001263006],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7484127,0.2308765,0.01017029,0.002571864,0.0003763355,0.0002987706,0.002185558,0.0001606765,0.004947363],"genre_scores_gemma":[0.966512,0.01905321,0.01103412,0.0007944735,0.0004842076,0.000197613,0.0009285471,0.00001054547,0.0009851828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003262704,"threshold_uncertainty_score":0.01725501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02163652960407697,"score_gpt":0.2873013199839219,"score_spread":0.265664790379845,"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."}}