{"id":"W2108667660","doi":"10.1186/1471-2164-15-487","title":"Relationship between genome and epigenome - challenges and requirements for future research","year":2014,"lang":"en","type":"letter","venue":"BMC Genomics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institutes of Health Research; McGill University","funders":"","keywords":"Epigenome; Epigenetics; Disease; Set (abstract data type); Biology; Genome; Data science; Genetics; Computer science; DNA methylation; Medicine; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001213319,0.0002773108,0.0003030845,0.0001531925,0.0002569444,0.00006829924,0.0002246111,0.001183976,0.000001355502],"category_scores_gemma":[0.0001706472,0.0002939403,0.00007785905,0.00003971782,0.0001373532,0.000003590761,0.0002113819,0.0005191376,0.00000523786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004458117,"about_ca_system_score_gemma":0.0001087246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004735736,"about_ca_topic_score_gemma":0.00003248513,"domain_scores_codex":[0.9980035,0.0002536256,0.0003367283,0.0007518074,0.0001994383,0.0004548662],"domain_scores_gemma":[0.9987617,0.0002641025,0.0001627587,0.0005390068,0.0001739158,0.00009852206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009817654,0.0002584894,0.334488,0.02170165,0.002032081,0.00004226333,0.008361678,0.0001238954,0.3021405,0.004929857,0.2395875,0.08535239],"study_design_scores_gemma":[0.0003959003,0.0003141052,0.04273004,0.00001186221,0.00005386754,0.000001514408,0.0000641403,0.000003814441,0.0008004982,0.004994299,0.9502861,0.0003438498],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6673235,0.2125391,0.004594625,0.1106991,0.0005833524,0.002600869,0.0004754013,0.00002960629,0.001154396],"genre_scores_gemma":[0.7172335,0.08309205,0.03115874,0.0334049,0.1101588,0.0006741922,0.01594874,0.0007607353,0.007568388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7106987,"threshold_uncertainty_score":0.9999512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1972685851755464,"score_gpt":0.3599600918743844,"score_spread":0.1626915066988379,"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."}}