{"id":"W3012005832","doi":"10.3233/jad-191254","title":"Cerebrospinal Fluid Biomarkers in Cerebral Amyloid Angiopathy","year":2020,"lang":"en","type":"article","venue":"Journal of Alzheimer s Disease","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Dementias Platform UK; Medical Research Council; Versus Arthritis; UK Dementia Research Institute; Vetenskapsrådet; Wolfson Foundation; Stroke Association; European Commission; University College London Hospitals NHS Foundation Trust; Rosetrees Trust; British Heart Foundation; University College London; Weston Brain Institute; National Institute for Health and Care Research; Brain Research UK","keywords":"Cerebral amyloid angiopathy; Cerebrospinal fluid; Pathology; Medicine; Amyloid (mycology); Angiopathy; Dementia; Disease; Endocrinology","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":[0.001298426,0.0007531837,0.000822308,0.002530249,0.0004470309,0.001180548,0.0004302074,0.0006367642,0.001020811],"category_scores_gemma":[0.003233125,0.0001766639,0.0002708402,0.001746887,0.0004684024,0.0006435381,0.0005304944,0.0004963739,0.0003418462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003984498,"about_ca_system_score_gemma":0.0005326284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009929163,"about_ca_topic_score_gemma":0.0008388174,"domain_scores_codex":[0.999429,0.0001889035,0.0001125462,0.00008250956,0.0001279246,0.00005902296],"domain_scores_gemma":[0.9978883,0.0006288901,0.0008130723,0.00006222937,0.0003938534,0.0002137038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001615139,0.0001860052,0.9455332,0.000504885,0.00028971,0.002286711,0.0001983822,0.0002420855,0.004505741,0.0001202829,0.001460435,0.04305736],"study_design_scores_gemma":[0.0001187727,0.001285453,0.9718704,0.0006227501,0.0003784181,0.01204113,0.0006367675,0.0006938576,0.003251837,0.001304971,0.007752003,0.00004371398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9314591,0.06491379,0.0004990776,0.0004791817,0.0001903497,0.00004927344,0.0006442998,0.00003627317,0.001728672],"genre_scores_gemma":[0.9905132,0.007505984,0.0009392116,0.000187243,0.0002002688,0.00005028981,0.0003834965,0.000006069253,0.0002142132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002530249,"threshold_uncertainty_score":0.006866813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03407113533535457,"score_gpt":0.293529872605543,"score_spread":0.2594587372701884,"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."}}