{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001795759,0.0002643243,0.0001584974,0.0003981713,0.0002247939,0.0004126415,0.0001726152,0.0002978957,0.001889073],"category_scores_gemma":[0.0001181701,0.0001168095,0.0001739417,0.0001422128,0.0001449834,0.0001383814,0.0002090969,0.0005686547,0.000610001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002344468,"about_ca_system_score_gemma":0.0001556651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005048501,"about_ca_topic_score_gemma":0.0008584588,"domain_scores_codex":[0.9998221,0.00001900384,0.00001132706,0.00004941752,0.00004847399,0.00004966447],"domain_scores_gemma":[0.9998339,0.00003216752,0.00003915192,0.00002070255,0.00002323339,0.00005076594],"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":[0.00008118046,0.00002230424,0.001612046,0.00001096908,0.000002176483,0.00009581108,0.00002869747,0.00004213077,0.9967206,0.0001439151,0.00006020836,0.001179956],"study_design_scores_gemma":[0.00005048349,0.0003667031,0.05598528,0.00002329897,0.00002995801,0.002305929,0.0001900875,0.002648075,0.9305371,0.0001821995,0.007667053,0.00001374157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944184,0.0004021533,0.002846449,0.00005273383,0.00001342614,0.00004320658,0.0004605938,0.00004620859,0.001716893],"genre_scores_gemma":[0.9885994,0.0002545198,0.004806027,0.00008422232,0.00001863958,0.0001233178,0.001452346,0.00004523763,0.004616334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001889073,"threshold_uncertainty_score":0.006319582,"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."}}