{"id":"W4312087713","doi":"10.1002/alz.064762","title":"Reference Intervals for Plasma Biomarkers of Alzheimer’s Disease","year":2022,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Clusterin in disease pathology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Neurodegeneration; Biomarker; Biobank; Internal medicine; Amyloid beta; Population; Pathology; Oncology; Alzheimer's disease; Neuroinflammation; Neurology; Disease; Bioinformatics; Biology; Psychiatry; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01383116,0.0006731831,0.0007869498,0.003106079,0.0005784461,0.001744827,0.001881714,0.0008076964,0.002396993],"category_scores_gemma":[0.03262911,0.0002182119,0.0006855054,0.002775209,0.0003856911,0.0005384035,0.0008484946,0.0009151245,0.001221349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001140881,"about_ca_system_score_gemma":0.0008344595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007195672,"about_ca_topic_score_gemma":0.004067427,"domain_scores_codex":[0.9905185,0.003339633,0.0009246361,0.002266142,0.002674638,0.0002764652],"domain_scores_gemma":[0.9809017,0.006815534,0.003293505,0.00271826,0.005860376,0.0004106378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005578412,0.0004322551,0.7131296,0.0008433558,0.001172595,0.0003429606,0.001302416,0.007299365,0.0126532,0.008885347,0.0234431,0.2249174],"study_design_scores_gemma":[0.0003679174,0.001832399,0.8890604,0.0004959728,0.0006894805,0.001188112,0.0006532425,0.01958277,0.02236858,0.009208261,0.05438731,0.0001654421],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6476839,0.02606445,0.2499568,0.001130899,0.001059477,0.001054242,0.03904074,0.002878666,0.03113074],"genre_scores_gemma":[0.8870877,0.00147917,0.08684398,0.0004932564,0.0002033503,0.001229403,0.01929709,0.0002097589,0.003156286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01383116,"threshold_uncertainty_score":0.07314706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0698989427733563,"score_gpt":0.3309748987402253,"score_spread":0.261075955966869,"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."}}