{"id":"W2163774748","doi":"10.1016/j.cell.2014.11.023","title":"Environment Drives Selection and Function of Enhancers Controlling Tissue-Specific Macrophage Identities","year":2014,"lang":"en","type":"article","venue":"Cell","topic":"Immune cells in cancer","field":"Immunology and Microbiology","cited_by":1287,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Biotechnology and Biological Sciences Research Council; Canadian Institutes of Health Research; University of California, San Diego; National Cancer Institute; National Institutes of Health; Wellcome Trust; National Institute of General Medical Sciences; American Heart Association","keywords":"Biology; Enhancer; Selection (genetic algorithm); Function (biology); Cell biology; Macrophage; Computational biology; Genetics; Transcription factor; Gene; In vitro","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":[0.0004452274,0.0002208576,0.0002883427,0.0004910958,0.0002766462,0.0008488342,0.0003795681,0.0003453151,0.002530957],"category_scores_gemma":[0.0005083314,0.0003895734,0.0002022461,0.0001866916,0.000442842,0.0004425126,0.0008183713,0.001004706,0.000704643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00030037,"about_ca_system_score_gemma":0.0002256079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003400239,"about_ca_topic_score_gemma":0.00116037,"domain_scores_codex":[0.99964,0.00005718166,0.0000185243,0.0000819463,0.00005917904,0.000143131],"domain_scores_gemma":[0.9993855,0.0002713618,0.00007815449,0.00007844788,0.00005804322,0.0001285037],"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":[0.0001059514,0.00001730505,0.0009366921,0.000009692562,0.000001968908,0.00004541576,0.00003585911,0.00005855372,0.9960478,0.0009444564,0.00003595074,0.001760369],"study_design_scores_gemma":[0.00003478024,0.0001395371,0.01758253,0.00001545393,0.00001934959,0.0004254853,0.0001782256,0.002169428,0.9746366,0.0006358034,0.004149986,0.00001282446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912486,0.0008055834,0.004464208,0.00008408348,0.00002328576,0.000007777412,0.0001050359,0.00008667469,0.00317471],"genre_scores_gemma":[0.9958865,0.0002024902,0.00137877,0.00006115416,0.00001398179,0.00000943672,0.0001573274,0.0001302188,0.002160126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002530957,"threshold_uncertainty_score":0.008466899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004738969149475449,"score_gpt":0.1871327515915574,"score_spread":0.182393782442082,"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."}}