{"id":"W2061412286","doi":"10.1038/ncomms7186","title":"ZNF143 provides sequence specificity to secure chromatin interactions at gene promoters","year":2015,"lang":"en","type":"article","venue":"Nature Communications","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":230,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; Université de Montréal; Montreal Clinical Research Institute; Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research; National Institutes of Health; Ontario Institute for Cancer Research; National Cancer Institute; Princess Margaret Cancer Foundation","keywords":"Promoter; Chromatin; ChIA-PET; Bivalent chromatin; Biology; Genetics; Transcription factor; Chromatin remodeling; Gene; Computational biology; 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":[0.0001721428,0.00014873,0.0001152833,0.00004882203,0.0002174626,0.00004610244,0.000930689,0.0002045718,0.00001325083],"category_scores_gemma":[0.0002029708,0.0001495739,0.00006583365,0.0001594851,0.00008581216,0.000007108979,0.000844251,0.0003508814,0.00005839142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001718239,"about_ca_system_score_gemma":0.0001350205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002247719,"about_ca_topic_score_gemma":0.001588875,"domain_scores_codex":[0.999125,0.00008662629,0.0002111581,0.0002692471,0.0001234828,0.0001844974],"domain_scores_gemma":[0.9977697,0.00002089213,0.000100314,0.001702012,0.0002339316,0.0001731574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003113925,0.0001580912,0.001901871,0.00001024477,0.00005669078,0.000001367889,0.0005946583,0.0002961979,0.951553,0.0009932702,0.04369615,0.0007073472],"study_design_scores_gemma":[0.0008349658,0.0004335277,0.00962838,0.00007585888,0.00006623405,0.0002144576,0.001085744,0.006700758,0.1782946,0.0008111643,0.8009139,0.0009404053],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987793,0.001577122,0.0005587768,0.00460354,0.0002437937,0.0004606132,0.0001612032,0.00004043024,0.004561567],"genre_scores_gemma":[0.9530546,0.0001494462,0.04466022,0.0005995472,0.0001021133,0.00007193521,0.0007338692,0.00002468001,0.0006036024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7732583,"threshold_uncertainty_score":0.6099445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03172675265531051,"score_gpt":0.3089104853936311,"score_spread":0.2771837327383206,"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."}}