{"id":"W942989169","doi":"10.1038/nchembio.1871","title":"Probing the epigenome","year":2015,"lang":"en","type":"article","venue":"Nature Chemical Biology","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; Structural Genomics Consortium; University of Toronto","funders":"Wellcome Trust","keywords":"Epigenome; Epigenetics; Computational biology; Chromatin; Chemical biology; Biology; Epigenesis; Systems biology; Epigenomics; DNA methylation; Genetics; DNA; Gene expression; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001774317,0.00009572181,0.00008090436,0.0000134371,0.00003352267,0.000009087651,0.0002525051,0.00047465,0.00001263731],"category_scores_gemma":[0.0003725857,0.00005907821,0.00005137987,0.00007322882,0.000126904,0.000001473076,0.0001236354,0.0002962763,0.00002886677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001419625,"about_ca_system_score_gemma":0.00005591296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002401185,"about_ca_topic_score_gemma":0.000001232282,"domain_scores_codex":[0.999379,0.00004618016,0.000111242,0.0002287985,0.00005547065,0.0001793369],"domain_scores_gemma":[0.9995482,0.00001110932,0.00004099387,0.0002421833,0.00007770836,0.00007981099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003081161,0.00001460744,0.0003454791,0.000001576577,0.00001283126,3.809294e-7,0.00001719381,4.276305e-7,0.9828207,0.00160824,0.0134967,0.001651032],"study_design_scores_gemma":[0.0001764196,0.00004748769,0.00002090351,0.000001260978,0.000002487989,0.000006683969,0.00001517684,0.000002626585,0.6018452,0.0008258299,0.3969864,0.00006950919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799333,0.005363678,0.0003238119,0.003962088,0.0005941175,0.0002606066,0.00001265201,0.0000354869,0.009514241],"genre_scores_gemma":[0.9964268,0.00002256245,0.0003316533,0.00199616,0.0006475014,0.00002076872,0.0001837247,0.000009024459,0.0003618239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3834897,"threshold_uncertainty_score":0.3660935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194037134643713,"score_gpt":0.2655184506546808,"score_spread":0.2535780793082437,"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."}}