{"id":"W4388379358","doi":"10.1016/j.jaci.2023.10.018","title":"JAK inhibitor treatment for inborn errors of JAK/STAT signaling: An ESID/EBMT-IEWP retrospective study","year":2023,"lang":"en","type":"article","venue":"Journal of Allergy and Clinical Immunology","topic":"Immunodeficiency and Autoimmune Disorders","field":"Immunology and Microbiology","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Medizinische Fakultät der Albert-Ludwigs-Universität Freiburg; Bundesministerium für Bildung, Wissenschaft, Forschung und Technologie; Istanbul Üniversitesi-Cerrahpasa; Lastentautien Tutkimussäätiö; Instituto de Salud Carlos III; Else Kröner-Fresenius-Stiftung; Kinderspital Zürich; Bundesministerium für Bildung und Forschung; Sanofi; Technische Universität Dresden; Deutsche Forschungsgemeinschaft","keywords":"stat; Medicine; JAK-STAT signaling pathway; Pharmacology; Cancer research; Oncology; Internal medicine; Signal transduction; Biology; Genetics; Receptor; Tyrosine kinase; STAT3","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001766559,0.0003255338,0.00124745,0.0003303878,0.0003152382,0.00001761387,0.0004616043,0.0005515862,0.0001512129],"category_scores_gemma":[0.000559375,0.0002526756,0.0005071971,0.0003287053,0.0007862402,0.0002017959,0.0001317599,0.0006633452,0.00003143833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000607545,"about_ca_system_score_gemma":0.0002283414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007255851,"about_ca_topic_score_gemma":0.00004873341,"domain_scores_codex":[0.9963309,0.0007514057,0.001886177,0.0004123719,0.00009124627,0.0005279199],"domain_scores_gemma":[0.9973159,0.0007557855,0.001112872,0.0003772892,0.0004091639,0.00002900099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.03922483,0.03587348,0.08132648,0.00009012343,0.0480554,0.000290195,0.02766514,0.0004073633,0.5824292,0.006767777,0.001977588,0.1758924],"study_design_scores_gemma":[0.0457138,0.09847707,0.6978225,0.0002665806,0.001249236,0.0002667504,0.06620368,0.00006308882,0.02308699,0.004380784,0.06130839,0.00116115],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853569,0.01130973,0.00006853828,0.0003823893,0.002274009,0.0004435423,0.00003088959,0.00004041712,0.00009353487],"genre_scores_gemma":[0.9947195,0.003949541,0.00004772289,0.00007111122,0.00004270599,0.00002169031,0.00004788076,0.00003055035,0.001069305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.616496,"threshold_uncertainty_score":0.9999925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04034285918337021,"score_gpt":0.3427059069663322,"score_spread":0.302363047782962,"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."}}