{"id":"W2094592218","doi":"10.3389/fgene.2012.00311","title":"MicroRNA dysregulation in multiple sclerosis","year":2013,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Killam Trusts; Multiple Sclerosis Society of Canada","keywords":"Multiple sclerosis; microRNA; Experimental autoimmune encephalomyelitis; Immune system; Central nervous system; Inflammation; Biology; Disease; Immunology; Neuroscience; Medicine; Gene; Pathology; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0000892458,0.000133272,0.0001227084,0.0001279577,0.000026022,0.00002530246,0.0001575221,0.0001725211,0.00002367236],"category_scores_gemma":[0.00004366273,0.0001537303,0.00004620798,0.0001672535,0.00006154942,0.000006021516,0.00006780909,0.00006388247,0.00001787909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006059921,"about_ca_system_score_gemma":0.00003742252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004262925,"about_ca_topic_score_gemma":0.0000790737,"domain_scores_codex":[0.9990313,0.00005787013,0.0002606408,0.0003013766,0.00009775115,0.0002510444],"domain_scores_gemma":[0.9995106,0.000004590883,0.00006462366,0.0003106316,0.0000487152,0.00006079044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002093419,0.00005278312,0.3649455,0.00001151797,0.000009846877,5.458889e-7,0.00004074089,0.002303786,0.6131326,0.000002020455,0.00998396,0.009495792],"study_design_scores_gemma":[0.0008947694,0.00003697052,0.8146505,0.00002572028,0.000005578661,0.000001115347,0.00007276779,0.008532546,0.1716327,0.0003074482,0.003623538,0.0002163612],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894722,0.002455194,0.00710132,0.00008676632,0.0003123692,0.0004132194,0.000007559364,0.000008176215,0.0001432258],"genre_scores_gemma":[0.9735242,0.0002216397,0.02574935,0.00008852551,0.00009242453,0.00005360273,0.0001198243,0.00002551749,0.0001249483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4497051,"threshold_uncertainty_score":0.6268942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01387747813454302,"score_gpt":0.2051545398434704,"score_spread":0.1912770617089274,"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."}}