{"id":"W2777103725","doi":"10.1016/j.str.2017.11.022","title":"DNA Sequence Recognition of Human CXXC Domains and Their Structural Determinants","year":2017,"lang":"en","type":"article","venue":"Structure","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"Argonne National Laboratory; Eshelman Institute for Innovation, University of North Carolina at Chapel Hill; Biological and Environmental Research; Wellcome; Innovative Medicines Initiative; Novartis Pharma; Ontario Genomics Institute; Canada Foundation for Innovation; Ontario Ministry of Economic Development and Innovation; Wellcome Trust; Genome Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; Boehringer Ingelheim; AbbVie; Pfizer","keywords":"Biology; CpG site; DNA; Function (biology); Computational biology; Epigenetics; DNA sequencing; Chromatin; genomic DNA; Genetics; Gene; DNA methylation; Gene expression","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0000329746,0.0001168278,0.0001187133,0.00001354773,0.0002400156,0.00003828439,0.0002042589,0.0001238178,0.00001253148],"category_scores_gemma":[0.00001949942,0.00009344926,0.00003699273,0.000008042303,0.000169433,0.000004713476,0.0001227437,0.00005702026,2.422592e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005210919,"about_ca_system_score_gemma":0.00001767172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002195286,"about_ca_topic_score_gemma":0.0001954758,"domain_scores_codex":[0.9995085,0.00001334126,0.0001208623,0.0001938898,0.00004113551,0.0001222759],"domain_scores_gemma":[0.9993524,0.000002318954,0.0001737919,0.0003887473,0.00004410764,0.00003865506],"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":[0.000008969066,0.00000154886,0.00889029,0.00002421877,0.00001471185,0.000001158153,0.00007035349,8.118916e-7,0.9827685,0.00004530891,0.000009772487,0.008164312],"study_design_scores_gemma":[0.0005263617,0.0001852368,0.1736802,0.00002424217,0.00001527535,0.00007583499,0.0001101746,0.0001951242,0.8095146,0.01535229,0.00008874496,0.0002318912],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999191,0.00005770086,0.00001198987,0.00001679509,0.00009778798,0.00007664259,0.0003518351,0.000003071139,0.0001931643],"genre_scores_gemma":[0.9991978,0.00002754016,0.0004837477,0.00002400557,0.00009625688,0.000001319264,0.0001157305,0.00001187233,0.00004166971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1732539,"threshold_uncertainty_score":0.381075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310261658595185,"score_gpt":0.2658809279315067,"score_spread":0.2527783113455549,"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."}}