{"id":"W2793989188","doi":"","title":"Secreted miRNAs regulate vascular inflammation.","year":2014,"lang":"en","type":"article","venue":"Open Repository and Bibliography (University of Liège)","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"Inflammation; microRNA; Biology; Cell biology; Computational biology; Immunology; Genetics; Gene","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":[0.0004451885,0.0005057836,0.0007300646,0.001846807,0.0004089393,0.001544638,0.0003474501,0.0007972987,0.01504407],"category_scores_gemma":[0.000892764,0.0003152304,0.0003481981,0.001657143,0.0004040088,0.0007683152,0.0008315571,0.0006988221,0.007291427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004141742,"about_ca_system_score_gemma":0.0005592259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005219842,"about_ca_topic_score_gemma":0.0009766282,"domain_scores_codex":[0.9996601,0.00008901476,0.00003844539,0.00005198289,0.0001236802,0.0000367381],"domain_scores_gemma":[0.9997358,0.00007136371,0.00003813505,0.00002165753,0.00009344831,0.0000396566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001066633,0.00009019759,0.00180133,0.002905564,0.00008924662,0.001701878,0.0004333098,0.0004465536,0.1740593,0.01625074,0.2244668,0.5766885],"study_design_scores_gemma":[0.00008252281,0.0004318358,0.01159423,0.0008630992,0.0001485462,0.003273555,0.0002545758,0.0006324603,0.1077627,0.009206625,0.8656833,0.00006653203],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03758229,0.8353459,0.01932911,0.009823484,0.006569548,0.0001458597,0.008000299,0.002030973,0.08117251],"genre_scores_gemma":[0.2903877,0.5136743,0.0249462,0.002909205,0.004196349,0.0003098088,0.009088796,0.0006283727,0.1538594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01504407,"threshold_uncertainty_score":0.05032742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005982217188835304,"score_gpt":0.1957320918393267,"score_spread":0.1897498746504915,"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."}}