{"id":"W2414349283","doi":"10.1385/1-59745-005-7:261","title":"Chromatin Immunoprecipitation Assay for Mammalian Tissues","year":2006,"lang":"en","type":"article","venue":"Humana Press eBooks","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"Chromatin immunoprecipitation; Chromatin; ChIP-on-chip; Histone; ChIP-sequencing; Histone code; Cell biology; Biology; ChIA-PET; DNA; Chromatin remodeling; Computational biology; Molecular biology; Genetics; Nucleosome; Gene; Gene expression; Promoter","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":[0.001678014,0.003156629,0.001596561,0.0026697,0.001524061,0.001239729,0.00296291,0.001366938,0.02769543],"category_scores_gemma":[0.001122448,0.00121421,0.001922194,0.002008792,0.0006514125,0.0007808201,0.001321632,0.004590424,0.03703725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008171452,"about_ca_system_score_gemma":0.0008861101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008596314,"about_ca_topic_score_gemma":0.003263913,"domain_scores_codex":[0.9972472,0.0004997927,0.0002598425,0.0009242451,0.0007247405,0.0003441884],"domain_scores_gemma":[0.9991861,0.0002755607,0.0000580607,0.00016171,0.0002119535,0.0001067567],"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":[0.0004285629,0.0004627029,0.0005422254,0.0009164354,0.0001596212,0.0002673836,0.0001429555,0.0003254969,0.9615215,0.003096153,0.009968526,0.02216833],"study_design_scores_gemma":[0.0001687546,0.0008675377,0.006213523,0.0002827245,0.0002896,0.0008983217,0.00008961529,0.004005378,0.693256,0.001998428,0.2918343,0.00009580617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04628592,0.03045934,0.7680256,0.002662292,0.003818943,0.005461433,0.03959828,0.01408856,0.08959973],"genre_scores_gemma":[0.09166119,0.01463365,0.6013157,0.002697471,0.0009149344,0.0081419,0.1415492,0.002140085,0.136946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02769543,"threshold_uncertainty_score":0.09265047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546793856573481,"score_gpt":0.2500147139415513,"score_spread":0.2345467753758165,"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."}}