{"id":"W4295720225","doi":"10.1139/gen-2022-0040","title":"miR-181a-5p is a potential candidate epigenetic biomarker in multiple sclerosis","year":2022,"lang":"en","type":"article","venue":"Genome","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"microRNA; Neurodegeneration; Biology; Multiple sclerosis; Biomarker; In silico; Inflammation; Epigenetics; Neuroinflammation; Bioinformatics; Immunology; Gene; Pathology; Disease; Medicine; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003971999,0.0003285342,0.0004307843,0.0007724668,0.0002203572,0.0005180291,0.0001809579,0.0003924471,0.001403397],"category_scores_gemma":[0.0007553336,0.0001582713,0.000283565,0.0005487896,0.0001954422,0.0002331672,0.0002196265,0.0002509699,0.0003664792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002125661,"about_ca_system_score_gemma":0.000174454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002669155,"about_ca_topic_score_gemma":0.0002724207,"domain_scores_codex":[0.9998243,0.00003891053,0.00001902445,0.00006460818,0.00003987796,0.00001311338],"domain_scores_gemma":[0.9996648,0.00008222844,0.0001669686,0.0000158732,0.00004300726,0.00002714897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004370154,0.0003088195,0.4659348,0.0007311448,0.0007236418,0.001631245,0.0002729166,0.001502244,0.4112535,0.0006664313,0.001073316,0.1115318],"study_design_scores_gemma":[0.0001013228,0.001728279,0.8783992,0.00006932663,0.0007859136,0.005332639,0.0001796513,0.009262502,0.0940582,0.001454186,0.008580088,0.00004858054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850465,0.008748672,0.003470752,0.0002256009,0.00004475628,0.00003696584,0.0009221788,0.0001153502,0.00138912],"genre_scores_gemma":[0.9959467,0.0007783066,0.002134023,0.00008879175,0.00003028608,0.00002363902,0.0003498643,0.000008559969,0.0006398681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001403397,"threshold_uncertainty_score":0.004694819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01820193507006704,"score_gpt":0.2211097428462407,"score_spread":0.2029078077761736,"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."}}