{"id":"W1969143310","doi":"10.1016/j.clinbiochem.2013.03.015","title":"Circulating miRNAs as sensitive and specific biomarkers for the diagnosis and monitoring of human diseases: Promises and challenges","year":2013,"lang":"en","type":"review","venue":"Clinical Biochemistry","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":217,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôpital Maisonneuve-Rosemont","funders":"Canadian Institutes of Health Research","keywords":"microRNA; Disease; Biology; Computational biology; Human disease; Bioinformatics; Diagnostic biomarker; Biological fluids; Medical research; Biomarker; Gene; Medicine; Genetics; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003090957,0.0003386146,0.0007276628,0.00002337633,0.0001316453,0.00004793642,0.0001423013,0.0004962501,0.000003157875],"category_scores_gemma":[0.0006534666,0.00025628,0.000292272,0.00003935146,0.0005965573,0.000004395739,0.0002531656,0.0001323318,4.759452e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001384695,"about_ca_system_score_gemma":0.00007943653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002975599,"about_ca_topic_score_gemma":2.052141e-7,"domain_scores_codex":[0.9981987,0.0001039101,0.0006483639,0.0007606233,0.00009742549,0.0001909405],"domain_scores_gemma":[0.9981062,0.0006632574,0.0004890589,0.0004552123,0.0001062558,0.0001800131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003456034,0.000104089,0.000972498,0.0204878,0.0009529277,0.000004201809,0.00001874454,4.810743e-8,0.0147756,0.00001067937,0.0003440162,0.9622948],"study_design_scores_gemma":[0.003466272,0.001030923,0.01335484,0.03050677,0.007340671,0.000266669,0.00140995,0.00001799804,0.09337533,0.0003140697,0.8459625,0.002953955],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1386207,0.8602301,0.000003498339,0.00005258229,0.00007013368,0.0008771244,0.0001188552,0.000007270055,0.00001979967],"genre_scores_gemma":[0.02300485,0.9756683,0.0001818241,0.000006971725,0.0006344422,0.0002730183,0.0001606698,0.00004359309,0.00002636409],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9593409,"threshold_uncertainty_score":0.9999889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.138884587011303,"score_gpt":0.4018938534843939,"score_spread":0.2630092664730909,"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."}}