{"id":"W2557097554","doi":"10.1016/j.celrep.2016.10.061","title":"A Compendium of Chromatin Contact Maps Reveals Spatially Active Regions in the Human Genome","year":2016,"lang":"en","type":"article","venue":"Cell Reports","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":987,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; Hospital for Sick Children; SickKids Foundation","funders":"National Institute of Environmental Health Sciences; National Institute of General Medical Sciences; National Human Genome Research Institute; University of California, San Diego; National Institutes of Health; Hospital for Sick Children; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Krembil Foundation; Ludwig Institute for Cancer Research","keywords":"Chromatin; CTCF; Chromosome conformation capture; ChIA-PET; Genome; Biology; Cohesin; Scaffold/matrix attachment region; Human genome; Genomic organization; Computational biology; Enhancer; Genetics; Chromosome; DNA; Gene; Chromatin remodeling; Transcription factor","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004017609,0.000601815,0.0007055867,0.004150954,0.0004326175,0.0007519177,0.000485563,0.0002580413,0.004152379],"category_scores_gemma":[0.001370384,0.0003559322,0.0005214024,0.005002923,0.0001997946,0.000381887,0.0007285443,0.0005713293,0.001508679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001785702,"about_ca_system_score_gemma":0.000531381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001684909,"about_ca_topic_score_gemma":0.005668306,"domain_scores_codex":[0.9995389,0.00003810479,0.00003781742,0.0001570151,0.0001936476,0.00003456488],"domain_scores_gemma":[0.9988574,0.0004425161,0.0001795871,0.0002276403,0.0001847771,0.0001080859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006493317,0.00006564287,0.06031396,0.003464832,0.0007912521,0.001368999,0.001169795,0.003217943,0.3318594,0.003104407,0.02584795,0.5681466],"study_design_scores_gemma":[0.0000629205,0.0001718166,0.5895134,0.0003386725,0.001021096,0.005426414,0.0003359082,0.005256021,0.08334488,0.003077162,0.3113267,0.0001249839],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4676145,0.02137562,0.0925204,0.0006449838,0.0002008362,0.0002117669,0.3944977,0.006274731,0.0166594],"genre_scores_gemma":[0.4494231,0.01057577,0.1014409,0.0002429481,0.0001302048,0.0003101051,0.429882,0.0009693693,0.007025621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004152379,"threshold_uncertainty_score":0.0138911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008385169752728402,"score_gpt":0.2254957655231533,"score_spread":0.2171105957704249,"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."}}