{"id":"W3010473572","doi":"10.1172/jci130426","title":"IRF4 instructs effector Treg differentiation and immune suppression in human cancer","year":2020,"lang":"en","type":"article","venue":"Journal of Clinical Investigation","topic":"Immune Cell Function and Interaction","field":"Immunology and Microbiology","cited_by":203,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council; Bristol-Myers Squibb Canada; Associazione Italiana per la Ricerca sul Cancro; Fondazione Umberto Veronesi; University of Melbourne; Biotechnology and Biological Sciences Research Council; Ministero della Salute; Bristol-Myers Squibb; Deutsche Forschungsgemeinschaft; Cancer Research UK","keywords":"IRF4; Biology; Effector; Cancer research; Immunosuppression; Immune system; Immunology; Transcription factor; Tumor microenvironment; Gene; Genetics","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":[0.0001697963,0.0001511109,0.0002141514,0.0003230747,0.0001798986,0.0002352123,0.0001032335,0.0001780623,0.001036132],"category_scores_gemma":[0.0001657743,0.00009828939,0.0001599423,0.0001858293,0.0001590144,0.000103782,0.0001758135,0.0002763581,0.0003009197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002339212,"about_ca_system_score_gemma":0.0002564427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004020821,"about_ca_topic_score_gemma":0.0005083113,"domain_scores_codex":[0.9999089,0.00002069384,0.000004499707,0.00001270175,0.00001612851,0.00003702352],"domain_scores_gemma":[0.9999563,0.000009518384,0.00001019108,0.000007995746,0.000006052002,0.000009986804],"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":[0.0006177196,0.00009969123,0.006946912,0.00006594802,0.00001071128,0.0002512792,0.0000493731,0.0002550748,0.9762991,0.0002763782,0.0002507148,0.01487705],"study_design_scores_gemma":[0.00009507783,0.001385502,0.1245797,0.00003876376,0.00008669725,0.003399315,0.0002619616,0.002859221,0.8501796,0.001105506,0.01598926,0.00001946617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953833,0.002359295,0.0008233669,0.00006664484,0.00001186566,0.00001373959,0.0001193872,0.00006478403,0.00115758],"genre_scores_gemma":[0.9980425,0.0007001495,0.0005027974,0.00003489819,0.000006984672,0.000009838842,0.0001817034,0.00000742793,0.0005136955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001036132,"threshold_uncertainty_score":0.003466249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05644923121328204,"score_gpt":0.3473673667599879,"score_spread":0.2909181355467059,"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."}}