{"id":"W2799600134","doi":"10.3389/fnagi.2018.00157","title":"Evaluation of RNA Blood Biomarkers in the Parkinson’s Disease Biomarkers Program","year":2018,"lang":"en","type":"article","venue":"Frontiers in Aging Neuroscience","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health","keywords":"Progressive supranuclear palsy; Internal medicine; Biomarker; Parkinson's disease; Medicine; Cohort; Montreal Cognitive Assessment; Disease; Oncology; Pathology; Cognitive impairment; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005290794,0.0006286654,0.0006640279,0.001334299,0.0003832385,0.00117467,0.0004249097,0.0005142755,0.0006994004],"category_scores_gemma":[0.006331396,0.0002881083,0.0002832175,0.0006957471,0.0003821607,0.0003636126,0.0005671692,0.0004558375,0.0004280258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000587669,"about_ca_system_score_gemma":0.0004164632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001608425,"about_ca_topic_score_gemma":0.001352589,"domain_scores_codex":[0.9970177,0.001109337,0.0002119186,0.0006477337,0.0008327959,0.0001804395],"domain_scores_gemma":[0.9960046,0.001335955,0.0008657213,0.0002311005,0.001247539,0.0003150557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001427072,0.0002836997,0.9544875,0.00008911014,0.0001385065,0.0002227916,0.00032477,0.0005525353,0.0192818,0.0001202377,0.0004982537,0.02257373],"study_design_scores_gemma":[0.0001059232,0.003617297,0.9464083,0.00006948743,0.0002715509,0.000952541,0.0002688465,0.008792047,0.03484754,0.0002782311,0.004356856,0.0000313988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917935,0.001639357,0.003943729,0.0001395756,0.00004732756,0.0001891013,0.0007700657,0.00007464191,0.001402756],"genre_scores_gemma":[0.9933461,0.0002034256,0.004677537,0.0001423037,0.00003430094,0.0001529524,0.0007809657,0.00001368673,0.0006486243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005290794,"threshold_uncertainty_score":0.02798069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03448779038545019,"score_gpt":0.3159660215701388,"score_spread":0.2814782311846886,"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."}}