{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000245573,0.00006023382,0.00007771492,0.00002988686,0.00004451845,0.00001124728,0.00009710938,0.00005869275,0.00004445194],"category_scores_gemma":[0.0001147793,0.0000565285,0.00008612521,0.00003634794,0.00003956116,0.000001559833,0.00003193587,0.00004644628,0.000004628407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006384564,"about_ca_system_score_gemma":0.00003779983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002289686,"about_ca_topic_score_gemma":0.000004206956,"domain_scores_codex":[0.9994605,0.00006466041,0.0001766647,0.00008576256,0.00009961835,0.00011282],"domain_scores_gemma":[0.9995324,0.00001191523,0.0001211922,0.0001577922,0.0001024744,0.00007423692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002816942,0.00002762813,0.02787817,0.00000682477,0.00002385268,2.806328e-7,0.000007855874,0.0002692933,0.9573932,0.00001199585,0.001516924,0.01283575],"study_design_scores_gemma":[0.000598806,0.0001106172,0.0838875,0.00002648868,0.00001736974,0.00002258791,0.00001057786,0.0002480807,0.8763396,0.0001736964,0.03845726,0.0001073934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900978,0.0006725285,0.008538473,0.00003499574,0.0001507976,0.00003256959,0.000005273861,0.00000245312,0.0004651355],"genre_scores_gemma":[0.9978057,0.0001862748,0.001531579,0.00003368928,0.0003567883,7.934914e-7,0.00001222001,0.00001102592,0.00006189102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08105364,"threshold_uncertainty_score":0.2305166,"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."}}