{"id":"W2558115208","doi":"10.1101/038067","title":"Integrative epigenomics, transcriptomics and proteomics of patient chondrocytes reveal genes and pathways involved in osteoarthritis","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health","funders":"Leids Universitair Medisch Centrum; European Commission; Dutch Arthritis Association; Universiteit Leiden; Wellcome Trust","keywords":"Epigenomics; Biology; Proteomics; Transcriptome; Osteoarthritis; Gene; Computational biology; Cartilage; KEGG; Genomics; DNA methylation; Bioinformatics; Genetics; Genome; Medicine; Gene expression; Pathology; Anatomy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.000570797,0.0003460518,0.0005045427,0.0008498147,0.0002070473,0.000617298,0.0002522752,0.0003171805,0.002147242],"category_scores_gemma":[0.0005384955,0.000146256,0.0005214643,0.0007112199,0.0002186297,0.0002004134,0.0004577939,0.0003054613,0.0004911806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002515909,"about_ca_system_score_gemma":0.0004022121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001314227,"about_ca_topic_score_gemma":0.002303211,"domain_scores_codex":[0.9996069,0.00006365569,0.0000279977,0.000151893,0.0000953624,0.00005417804],"domain_scores_gemma":[0.9997228,0.00007293766,0.00007706119,0.00004158777,0.00005324876,0.00003225715],"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":[0.001058569,0.0000797607,0.07892604,0.0003523343,0.0003215999,0.0002516818,0.0001659927,0.0008696999,0.8835782,0.0002278066,0.001040283,0.03312797],"study_design_scores_gemma":[0.00006335328,0.0006067944,0.7637721,0.00006956013,0.0006180612,0.001929045,0.0004304395,0.005226946,0.2169412,0.00122868,0.0090667,0.00004703048],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565092,0.007256713,0.01902193,0.0005520684,0.00004960562,0.00007483856,0.01423878,0.0003362169,0.001960645],"genre_scores_gemma":[0.9759191,0.001778744,0.01197208,0.0003087631,0.00003584051,0.00009824622,0.00744434,0.00007263918,0.002370279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002147242,"threshold_uncertainty_score":0.007183194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168324842109338,"score_gpt":0.2022986684378698,"score_spread":0.1906154200167764,"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."}}