{"id":"W3023275368","doi":"10.3389/fcell.2020.00331","title":"The Use of Mononucleosome Immunoprecipitation for Analysis of Combinatorial Histone Post-translational Modifications and Purification of Nucleosome-Interacting Proteins","year":2020,"lang":"en","type":"article","venue":"Frontiers in Cell and Developmental Biology","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research","keywords":"Nucleosome; Histone; Histone code; Chromatin; Chromatin immunoprecipitation; Computational biology; Cell biology; Biology; Context (archaeology); Chemistry; Genetics; DNA; Gene expression; Gene","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":[0.00007943048,0.00006020216,0.0001505291,0.00006041371,0.00004613435,0.000004835616,0.00006348795,0.00006840409,7.775145e-7],"category_scores_gemma":[0.0000646062,0.00005384068,0.00003826541,0.0001004629,0.0001097256,0.000005795776,0.00002867618,0.00002792812,3.017119e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008658548,"about_ca_system_score_gemma":0.00003779459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002495398,"about_ca_topic_score_gemma":0.00001191627,"domain_scores_codex":[0.9994317,0.0000282597,0.0003057832,0.000140075,0.00002976668,0.00006442327],"domain_scores_gemma":[0.9995965,0.00005002695,0.0001939097,0.00005875761,0.00008236389,0.00001847719],"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":[0.0002786923,0.00004920552,0.0226349,0.00003954701,0.0001847965,1.919892e-8,0.0009842467,0.0002088733,0.9721932,0.0006243493,0.00003553009,0.002766674],"study_design_scores_gemma":[0.004270851,0.001405768,0.2847245,0.00003445119,0.0004681916,0.000002091437,0.00564459,0.09883465,0.5944282,0.00222858,0.007364436,0.0005936648],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988136,0.0003981386,0.01087271,0.0001140599,0.00008801714,0.0002339767,0.0001306563,0.000001091989,0.00002535799],"genre_scores_gemma":[0.9512782,0.0002337856,0.04804692,0.00001273777,0.00000680177,0.00001665951,0.0003929985,0.000004398128,0.000007520961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3777649,"threshold_uncertainty_score":0.2195559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619693748616602,"score_gpt":0.2386829617700019,"score_spread":0.2224860242838359,"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."}}