{"id":"W80518678","doi":"10.1007/978-1-61779-376-9_16","title":"Chromatin Affinity Purification","year":2011,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Chromatin; Computational biology; Computer science; Cell biology; Biology; Chemistry; Genetics; DNA","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001993736,0.004760154,0.004349692,0.003939617,0.004733908,0.001977369,0.006303086,0.001752697,0.08721924],"category_scores_gemma":[0.002794685,0.002648029,0.003474365,0.004401023,0.001547814,0.001136452,0.004211557,0.008090362,0.09646206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001389666,"about_ca_system_score_gemma":0.002505895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004618218,"about_ca_topic_score_gemma":0.01052243,"domain_scores_codex":[0.9951989,0.0006653912,0.000346604,0.001338782,0.001120643,0.0013297],"domain_scores_gemma":[0.9976533,0.0007715175,0.00006489209,0.000655136,0.0004419761,0.000413224],"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":[0.0008781926,0.001427757,0.001658586,0.002599158,0.0004603272,0.0005404063,0.0005158287,0.001008918,0.8087494,0.009560035,0.08910964,0.08349173],"study_design_scores_gemma":[0.0003448413,0.0004830347,0.006329753,0.0002670033,0.0003651627,0.001057461,0.0001149457,0.00252675,0.4530137,0.003406798,0.5319244,0.0001662511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05302593,0.01587213,0.7211584,0.005260637,0.003115899,0.01190683,0.06341486,0.02647113,0.09977419],"genre_scores_gemma":[0.09349082,0.01441023,0.2482518,0.006670539,0.001396509,0.01112424,0.3761005,0.005423661,0.2431317],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08721924,"threshold_uncertainty_score":0.2917774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02722708393453869,"score_gpt":0.3416663617336896,"score_spread":0.3144392777991509,"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."}}