{"id":"W2084160423","doi":"10.1038/nbt1010-1045","title":"The NIH Roadmap Epigenomics Mapping Consortium","year":2010,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2046,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency","funders":"National Human Genome Research Institute","keywords":"Epigenomics; Computational biology; Ex vivo; Human disease; Biology; Genetics; In vivo; Gene; DNA methylation; Gene expression","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":[0.004466122,0.0009050576,0.001171886,0.003911735,0.001482322,0.001815397,0.002167069,0.001006496,0.02113575],"category_scores_gemma":[0.004084272,0.0004954507,0.0006076223,0.003931296,0.0003469933,0.000789758,0.002274394,0.001590039,0.008355592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577207,"about_ca_system_score_gemma":0.00770023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02854821,"about_ca_topic_score_gemma":0.05232424,"domain_scores_codex":[0.998354,0.0003419184,0.00006949363,0.0003443086,0.0005954883,0.000294781],"domain_scores_gemma":[0.9953561,0.0006414141,0.0002644038,0.001038965,0.001628877,0.001070241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001450656,0.0003251038,0.01075084,0.000686596,0.0002697364,0.0002562598,0.0003300517,0.001752137,0.06383024,0.02738932,0.5868337,0.3061255],"study_design_scores_gemma":[0.0003028197,0.0001364913,0.03063559,0.0001514527,0.0002631212,0.0002631655,0.0001243398,0.003286583,0.02634778,0.01508609,0.9233297,0.0000727521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04908925,0.007954743,0.1498784,0.01796781,0.002263293,0.001972653,0.6205869,0.01818698,0.1320999],"genre_scores_gemma":[0.05353103,0.004404017,0.2361235,0.003875646,0.0004392321,0.00352921,0.6453109,0.001929294,0.05085706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02854821,"threshold_uncertainty_score":0.07070613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00389924591743176,"score_gpt":0.2358489717402764,"score_spread":0.2319497258228446,"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."}}