{"id":"W2900151022","doi":"10.1101/465435","title":"Transcriptional regulatory networks that promote and restrict identities and functions of intestinal innate lymphoid cells","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"IL-33, ST2, and ILC Pathways","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; Flatiron Health; Cincinnati Children's Hospital Medical Center; NYU Langone Medical Center; Damon Runyon Cancer Research Foundation; Simons Foundation","keywords":"Biology; Innate lymphoid cell; Transcription factor; Chromatin; Gene regulatory network; Epigenetics; Effector; Regulation of gene expression; Transcriptional regulation; Innate immune system; Function (biology); Computational biology; Immune system; Systems biology; Gene; Genetics; Cell biology; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000525934,0.0004984521,0.0006103303,0.0003204204,0.0003262948,0.00008171496,0.0002929439,0.0008268404,0.00006182388],"category_scores_gemma":[0.00009043561,0.0005175097,0.0001125342,0.0002385359,0.001044006,0.0001823609,0.0003469979,0.0006837612,0.0000279546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009110368,"about_ca_system_score_gemma":0.0004509312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006953024,"about_ca_topic_score_gemma":0.000005614092,"domain_scores_codex":[0.9978468,0.0002204251,0.0005294974,0.0008046982,0.0001061198,0.0004924759],"domain_scores_gemma":[0.9983232,0.00008663585,0.0004265936,0.0006331051,0.0004432113,0.00008723253],"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":[0.0001380152,0.0001182683,0.01103974,0.0004755605,0.0003390715,0.00001309921,0.00005600852,0.00001451592,0.9856539,0.0006386641,0.001506409,0.000006776293],"study_design_scores_gemma":[0.001961319,0.0004062044,0.2602492,0.001151857,0.0005119526,0.000002441555,0.00003183846,0.0001137611,0.7149494,0.00003713126,0.01940398,0.001180953],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866493,0.006725099,0.001429488,0.0000261115,0.002553311,0.0004640717,0.001945456,0.000177503,0.000029671],"genre_scores_gemma":[0.9975188,0.001465321,0.0004902755,0.00005120465,0.000240973,0.00006273382,0.000004189973,0.00006590667,0.0001006293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2707045,"threshold_uncertainty_score":0.9997277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01442414965330119,"score_gpt":0.1919009959462337,"score_spread":0.1774768462929326,"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."}}