{"id":"W2922108048","doi":"10.4049/jimmunol.1801330","title":"Innate Control of Tissue-Reparative Human Regulatory T Cells","year":2019,"lang":"en","type":"article","venue":"The Journal of Immunology","topic":"IL-33, ST2, and ILC Pathways","field":"Immunology and Microbiology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute; Occupational Cancer Research Centre; Canada's Michael Smith Genome Sciences Centre; Toronto General Hospital; University of Toronto; BC Children's Hospital; University Health Network; University of British Columbia","funders":"Canadian Institutes of Health Research; Versus Arthritis","keywords":"Amphiregulin; Immunology; Biology; Transplantation; Regulatory T cell; Immune system; Cell therapy; Cancer research; T cell; Stem cell; Cell biology; Medicine; IL-2 receptor; Growth factor; Receptor; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009478123,0.0001844495,0.0006562514,0.0001695296,0.0001365524,0.000003974291,0.0005950464,0.0002882857,0.0005713312],"category_scores_gemma":[0.00005746115,0.0001191423,0.0001358148,0.0001223362,0.0006024087,0.0001115605,0.00007985212,0.0006454541,0.0005482244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004149458,"about_ca_system_score_gemma":0.0001451728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004108014,"about_ca_topic_score_gemma":0.000006947505,"domain_scores_codex":[0.9979516,0.0008136323,0.0007311226,0.0001156545,0.00005713176,0.0003308555],"domain_scores_gemma":[0.9978818,0.0003142173,0.0009973674,0.0004344977,0.0003575085,0.00001455054],"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":[0.0008366592,0.00009738264,0.0002167973,0.00001294829,0.0007251285,0.000005200966,0.001934044,0.00002520115,0.9917604,0.002217609,0.001708159,0.0004605117],"study_design_scores_gemma":[0.003716062,0.002315529,0.005319924,0.00005045363,0.0001446558,0.0004838313,0.0008842324,7.680517e-7,0.9294423,0.0007206697,0.05677779,0.0001437567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891593,0.005715593,0.0001410296,0.0001388483,0.001694154,0.0002206958,0.0001040615,0.00001245352,0.002813873],"genre_scores_gemma":[0.9959259,0.0002508489,0.0000173326,0.0001443594,0.00005110087,0.000001328474,0.000005362593,0.00001608105,0.003587708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06231803,"threshold_uncertainty_score":0.7046499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007868824274397604,"score_gpt":0.2318697791934586,"score_spread":0.224000954919061,"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."}}