{"id":"W2969970430","doi":"10.1007/s00592-019-01406-6","title":"Circulatory miRNA biomarkers of metabolic syndrome","year":2019,"lang":"en","type":"article","venue":"Acta Diabetologica","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"AgResearch","keywords":"microRNA; Metabolic syndrome; In silico; Biology; Bioinformatics; Wnt signaling pathway; Internal medicine; Medicine; Cohort; Diabetes mellitus; Gene; Endocrinology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004848814,0.0004505865,0.000571639,0.001031017,0.0003360943,0.001409051,0.0001771097,0.0006307212,0.001575413],"category_scores_gemma":[0.001227537,0.0003065396,0.0002661115,0.0008123178,0.0002488054,0.0002859216,0.0004585911,0.0008281269,0.0004393564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002575436,"about_ca_system_score_gemma":0.000268936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002866416,"about_ca_topic_score_gemma":0.000352607,"domain_scores_codex":[0.9996792,0.0001158631,0.00003067892,0.00007088773,0.00006275742,0.00004059632],"domain_scores_gemma":[0.99943,0.0001622542,0.0001769059,0.00004026068,0.00008791585,0.0001026016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01196796,0.0003079,0.578151,0.0006203609,0.0007666815,0.00223283,0.0005684273,0.0003437446,0.3013734,0.002606574,0.002812104,0.09824897],"study_design_scores_gemma":[0.0001831514,0.001045521,0.9486265,0.0001328519,0.0006153849,0.003418747,0.0003345839,0.001807575,0.03177859,0.00325617,0.008727649,0.00007324518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616108,0.02425612,0.004397963,0.0005682643,0.0003636741,0.00003458501,0.001255962,0.0001515915,0.007361059],"genre_scores_gemma":[0.9923705,0.002565148,0.002352359,0.0002129443,0.0002687466,0.00004969596,0.000430357,0.0000346002,0.001715636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001575413,"threshold_uncertainty_score":0.005270302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007194639741682901,"score_gpt":0.219251555862551,"score_spread":0.2120569161208681,"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."}}