{"id":"W2167625251","doi":"10.1186/ar4186","title":"Why is epigenetics important in understanding the pathogenesis of inflammatory musculoskeletal diseases?","year":2013,"lang":"en","type":"review","venue":"Arthritis Research & Therapy","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Ministero dello Sviluppo Economico; Bayer HealthCare; Ontario Ministry of Economic Development and Innovation; Genome Canada; Wellcome Trust; GlaxoSmithKline; Eli Lilly and Company","keywords":"Epigenetics; Epigenomics; Chromatin; Computational biology; Biology; Disease; Bioinformatics; Epigenesis; DNA methylation; Mechanism (biology); Organism; Inflammatory arthritis; Medicine; Arthritis; Genetics; Immunology; Gene; Gene expression; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001332006,0.0003559079,0.000722252,0.0002758612,0.0001719448,0.00007097641,0.0005876748,0.0004098493,0.0001179517],"category_scores_gemma":[0.0001531077,0.0002595701,0.000509922,0.0004601807,0.0004068511,0.000006890215,0.0002221121,0.0003941051,0.00001198126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008034953,"about_ca_system_score_gemma":0.0004675043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007863429,"about_ca_topic_score_gemma":0.000192711,"domain_scores_codex":[0.9961453,0.001135324,0.0008930468,0.0005839519,0.0006507034,0.0005916585],"domain_scores_gemma":[0.998179,0.0002008575,0.000304764,0.0009493007,0.0002149473,0.0001511718],"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":[0.00001742796,0.0001015525,0.000671079,0.0008396388,0.0001561412,0.0000127728,0.0001013502,0.00000296769,0.004568895,0.0001549944,0.0008416065,0.9925316],"study_design_scores_gemma":[0.0004208089,0.0004057976,0.0002500386,0.001070038,0.00002545091,0.000002877695,0.0001153192,0.000006910935,0.0006409631,0.001725769,0.9950083,0.0003277418],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.009912237,0.9879978,0.0001892924,0.00008340105,0.00009651291,0.001491195,0.0001387457,0.000005778465,0.00008504557],"genre_scores_gemma":[0.004697017,0.9942673,0.0000582096,0.00004747866,0.0002307483,0.0003617005,0.0002046547,0.00008801911,0.00004485838],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9941667,"threshold_uncertainty_score":0.9999856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08416534177684806,"score_gpt":0.3808545564411634,"score_spread":0.2966892146643154,"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."}}