{"id":"W2276557126","doi":"10.1038/srep19620","title":"Exploration of nucleosome positioning patterns in transcription factor function","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Core Research for Evolutional Science and Technology; Institute of Genetics; Research Institute for Information Technology, Kyushu University; Japan Society for the Promotion of Science","keywords":"Chromatin; Nucleosome; Transcription factor; RNA polymerase II; Biology; Genome; Gene expression; Gene; Computational biology; Genetics; Regulation of gene expression; Transcription (linguistics); Function (biology); Cell biology; Promoter","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002204688,0.0001797318,0.000190577,0.0006153854,0.0001258965,0.0002858472,0.0001614202,0.0002212393,0.0006852151],"category_scores_gemma":[0.0004304635,0.0001657931,0.0002067853,0.0005097759,0.0002036631,0.0002292307,0.000170485,0.0002216832,0.0002284189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001865056,"about_ca_system_score_gemma":0.0001054884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001426082,"about_ca_topic_score_gemma":0.001960431,"domain_scores_codex":[0.9999059,0.00001324336,0.000005265162,0.00004169691,0.00001907105,0.00001478878],"domain_scores_gemma":[0.9998325,0.00005852647,0.00003630544,0.00001969587,0.00002823943,0.00002466314],"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":[0.0001848873,0.00001927026,0.03952777,0.00008597969,0.00003150627,0.00006125325,0.0001142137,0.0009063337,0.9435623,0.0005337981,0.00006691342,0.01490584],"study_design_scores_gemma":[0.00001188593,0.0001582954,0.7518062,0.0000207463,0.00007528234,0.00062315,0.0001822807,0.0192514,0.2237401,0.00165531,0.002433461,0.00004180099],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862652,0.001067843,0.01103793,0.00002874835,0.000005773452,0.00000769405,0.000458057,0.0000487641,0.001079968],"genre_scores_gemma":[0.9956671,0.0002494861,0.003319068,0.00001314142,0.000004417413,0.00000629728,0.0003441088,0.00001026223,0.000386136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001426082,"threshold_uncertainty_score":0.002835572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247730702291695,"score_gpt":0.2178575616147932,"score_spread":0.2053802545918763,"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."}}