{"id":"W4290997084","doi":"10.1136/annrheumdis-2022-eular.2374","title":"POS0232 IDENTIFICATION OF THE CORE REGULATORY GENE NETWORKS REGULATING SUBCHONDRAL BONE AND MARROW ADIPOSE TISSUE REMODELING IN HUMAN KNEE OA","year":2022,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canada First Research Excellence Fund; Novartis Pharmaceuticals Corporation; GlaxoSmithKline; Stryker; Pfizer; Amgen; Eli Lilly and Company; National Institutes of Health; U.S. Department of Health and Human Services; Foundation for the National Institutes of Health","keywords":"Adipose tissue; Bone marrow; Transcriptome; Adipocyte; Medicine; Pathology; Fibrosis; Osteoarthritis; Cell type; Cell; Gene; Biology; Gene expression; Internal medicine; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001851071,0.0002886384,0.0004166295,0.0006839135,0.0002588794,0.0003859731,0.0001802197,0.0002723823,0.007765246],"category_scores_gemma":[0.0002572128,0.0001684109,0.0003958349,0.0006108743,0.0001859226,0.0001240311,0.0002970066,0.0003435007,0.001716433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000144305,"about_ca_system_score_gemma":0.0003779608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008112199,"about_ca_topic_score_gemma":0.001444136,"domain_scores_codex":[0.9997973,0.00003452031,0.00001460227,0.00005997326,0.00005052597,0.00004301874],"domain_scores_gemma":[0.9998605,0.00003610296,0.0000356999,0.00001301437,0.00002282363,0.00003181162],"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":[0.002404518,0.0001326166,0.0155657,0.0003201347,0.00008350766,0.0006423114,0.00008636743,0.0005969765,0.9586043,0.0008863563,0.001053531,0.01962365],"study_design_scores_gemma":[0.0004426206,0.002067544,0.7178851,0.0001439277,0.0003651436,0.004394671,0.0005640212,0.00625312,0.2355498,0.001947185,0.03032818,0.00005859614],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710057,0.004331349,0.006462764,0.0002944543,0.0001128396,0.00009514476,0.009010921,0.0001596144,0.008527079],"genre_scores_gemma":[0.9766054,0.0008789581,0.004748864,0.0004090062,0.00005632007,0.0002033317,0.009374373,0.00006124468,0.007662477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007765246,"threshold_uncertainty_score":0.02597731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03122476674023581,"score_gpt":0.2857954876993843,"score_spread":0.2545707209591485,"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."}}