{"id":"W1797244779","doi":"10.21083/surg.v7i2.2935","title":"Epigenetics of multiple sclerosis","year":2014,"lang":"en","type":"article","venue":"SURG Journal","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Multiple Sclerosis Society; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Multiple Sclerosis Society of Canada","keywords":"Epigenetics; DNA methylation; microRNA; Histone; Multiple sclerosis; Biology; Disease; Genetics; Epigenesis; Phenotype; Computational biology; Neuroscience; Gene; Medicine; Immunology; Gene expression; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003652463,0.0001609364,0.0002312847,0.0002396119,0.0004138344,0.0009154511,0.0002563726,0.0004680406,0.001591507],"category_scores_gemma":[0.0006668024,0.0001123029,0.0002045496,0.0002259127,0.000827872,0.0005080301,0.0006157068,0.0005555186,0.0003442483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005089634,"about_ca_system_score_gemma":0.0004566727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007224652,"about_ca_topic_score_gemma":0.0007980978,"domain_scores_codex":[0.9997739,0.00006139019,0.00001194062,0.00006986398,0.00004775819,0.00003513005],"domain_scores_gemma":[0.9997421,0.00007518511,0.0000576676,0.00002710345,0.00005571921,0.00004217546],"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":[0.0004174672,0.0001083799,0.023214,0.001397462,0.0003421883,0.002157812,0.004419426,0.002106295,0.4016601,0.1413166,0.01142979,0.4114305],"study_design_scores_gemma":[0.00008826809,0.0007921932,0.1182816,0.000766058,0.0003186967,0.00600205,0.002417822,0.003667213,0.1442815,0.1639197,0.5592937,0.000171152],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5119521,0.3008268,0.05091824,0.03615325,0.002586558,0.0001058537,0.001410348,0.0006884358,0.09535839],"genre_scores_gemma":[0.936068,0.04181179,0.004778788,0.002416558,0.0004459439,0.00005273759,0.0003100536,0.00004220653,0.01407392],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001591507,"threshold_uncertainty_score":0.005324125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01809741873859673,"score_gpt":0.2257634165757329,"score_spread":0.2076659978371362,"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."}}