{"id":"W4283118942","doi":"10.1186/s13223-022-00697-9","title":"KIF2A decreases IL-33 production and attenuates allergic asthmatic inflammation","year":2022,"lang":"en","type":"article","venue":"Allergy Asthma and Clinical Immunology","topic":"IL-33, ST2, and ILC Pathways","field":"Immunology and Microbiology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Jiangsu Provincial Key Research and Development Program; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Autophagy; House dust mite; In vivo; Cytokine; Bronchoalveolar lavage; Immunology; Respiratory epithelium; Inflammation; Interleukin 8; mTORC1; Epithelium; Medicine; Immunoglobulin E; Chemistry; Lung; Biology; Cell biology; Apoptosis; Signal transduction; Internal medicine; Pathology; Antibody","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001382145,0.0004220103,0.0005741111,0.0003357657,0.0002146015,0.0002269501,0.0002257824,0.00042443,0.001647598],"category_scores_gemma":[0.0001162561,0.0001140086,0.0003391154,0.0001655497,0.0002361032,0.0001976673,0.0001311914,0.0008056597,0.0002721855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002665307,"about_ca_system_score_gemma":0.0003456199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000601606,"about_ca_topic_score_gemma":0.001421068,"domain_scores_codex":[0.9998981,0.00001283299,0.000009544964,0.00001590904,0.00002806556,0.00003566715],"domain_scores_gemma":[0.9999328,0.000006479115,0.00001897646,0.000004581324,0.00001035205,0.00002685219],"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":[0.001550146,0.0004980206,0.0007084914,0.0004143707,0.0000461968,0.0001130641,0.00002390178,0.000161357,0.9880446,0.00007412322,0.0006306509,0.007735143],"study_design_scores_gemma":[0.0005607918,0.004367415,0.02592739,0.00007958354,0.0002336843,0.0008465071,0.0001681686,0.002158956,0.9488712,0.0001448084,0.0166155,0.00002591799],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799494,0.01529731,0.001591286,0.0004168048,0.0002027269,0.00007023326,0.0006665078,0.0003357906,0.001470023],"genre_scores_gemma":[0.992242,0.003688521,0.001060307,0.0001591899,0.00005260387,0.00008936553,0.0005417102,0.00002182507,0.002144525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001647598,"threshold_uncertainty_score":0.005511761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172686179283673,"score_gpt":0.2590056609673352,"score_spread":0.2417370430389679,"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."}}