{"id":"W3081356893","doi":"10.1101/2020.08.21.261073","title":"T-bet fate mapping identifies a novel ILC1-ILC2 subset <i>in vivo</i>","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"IL-33, ST2, and ILC Pathways","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; National Institute of Allergy and Infectious Diseases; Medical Research Council; British Heart Foundation; University of Toronto; Research Councils UK; Fundación Ramón Areces; National Institute for Health and Care Research; Sunnybrook Research Institute; King's College London; UK Research and Innovation; King's College Hospital NHS Foundation Trust; Wellcome Trust","keywords":"Innate lymphoid cell; Fate mapping; Biology; Immune system; Transcription factor; Innate immune system; Cell biology; Cell fate determination; Context (archaeology); T cell; Inflammation; Immunology; Gene; Stem cell; Genetics; Progenitor cell","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","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007659449,0.001043275,0.001341922,0.0005481967,0.0003224349,0.000217764,0.001238035,0.00154855,0.0002024026],"category_scores_gemma":[0.000387717,0.001158279,0.0003398054,0.000866003,0.0003636974,0.0002501897,0.001200989,0.002131383,0.001062253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002799271,"about_ca_system_score_gemma":0.0008571217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002594279,"about_ca_topic_score_gemma":0.00004180659,"domain_scores_codex":[0.9952499,0.000311472,0.001135784,0.001826101,0.0001769338,0.001299831],"domain_scores_gemma":[0.9971415,0.0001366469,0.000652835,0.001521021,0.0003913397,0.0001566662],"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":[0.00008216777,0.0002187936,0.002723268,0.0006772793,0.0003540221,0.0001178201,0.0001501536,0.00001581448,0.9900108,0.000842895,0.004806128,8.32964e-7],"study_design_scores_gemma":[0.001894377,0.00006726585,0.0235351,0.001025188,0.0001204918,2.071788e-7,0.00003943095,0.0000281684,0.8103193,0.00000914132,0.1614781,0.001483259],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709259,0.002567211,0.00194032,0.0004672709,0.005846479,0.001479793,0.01554221,0.001001636,0.0002291477],"genre_scores_gemma":[0.9970348,0.0004607829,0.0008080431,0.0007312616,0.0003932207,0.000276469,0.000009712227,0.0001947172,0.00009096512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1796915,"threshold_uncertainty_score":0.9997476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02441856960712148,"score_gpt":0.2114391028470121,"score_spread":0.1870205332398907,"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."}}