{"id":"W3003266907","doi":"10.1016/j.exger.2020.110859","title":"Myokines as biomarkers of frailty and cardiovascular disease risk in females","year":2020,"lang":"en","type":"article","venue":"Experimental Gerontology","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Winnipeg Regional Health Authority; St. Boniface Hospital; University of Manitoba","funders":"Canadian Institutes of Health Research; Fondation de l’Hôpital Saint-Boniface","keywords":"Myokine; Medicine; FGF21; Internal medicine; Disease; Framingham Risk Score; Analysis of variance; Risk factor; Skeletal muscle; Fibroblast growth factor","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001975484,0.0002830772,0.0002793534,0.0004426362,0.0001881512,0.0003706421,0.00009551123,0.0002628975,0.001286485],"category_scores_gemma":[0.0006373962,0.00013534,0.0001661252,0.0003273202,0.0001194611,0.0001448375,0.0002312942,0.0002256837,0.0002265899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001301849,"about_ca_system_score_gemma":0.0001143873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001309813,"about_ca_topic_score_gemma":0.001999247,"domain_scores_codex":[0.9999336,0.00002023164,0.000004641303,0.00001581422,0.000009436257,0.00001623119],"domain_scores_gemma":[0.999764,0.00003515789,0.000112573,0.00001048293,0.00002225577,0.00005537451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009676283,0.00006617384,0.9919671,0.00001882204,0.00005835712,0.00007637059,0.00007503071,0.00002431226,0.001392489,0.00003222417,0.0001144358,0.005206842],"study_design_scores_gemma":[0.00001021327,0.0001991432,0.9991003,0.000006539196,0.00003358857,0.0001540341,0.0001098905,0.00006439973,0.0001322446,0.00002195649,0.0001657972,0.000001834592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997811,0.001220517,0.00005288741,0.0000490132,0.000008675006,0.000004042394,0.0002452379,0.000002662943,0.0006060088],"genre_scores_gemma":[0.9982945,0.0004718742,0.00007522274,0.0000344357,0.00002052739,0.000006036991,0.0001707135,0.00000201859,0.0009246486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001309813,"threshold_uncertainty_score":0.004303694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1166209153553228,"score_gpt":0.374431970610003,"score_spread":0.2578110552546802,"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."}}