{"id":"W4386466767","doi":"10.1242/dmm.050174","title":"IL-33 regulates Müller cell-mediated retinal inflammation and neurodegeneration in diabetic retinopathy","year":2023,"lang":"en","type":"article","venue":"Disease Models & Mechanisms","topic":"IL-33, ST2, and ILC Pathways","field":"Immunology and Microbiology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast; Sight Research UK; Fight for Sight UK; Department of Education, Northern Ireland","keywords":"Neurodegeneration; Diabetic retinopathy; Muller glia; Retina; Endocrinology; Microglia; Ciliary neurotrophic factor; Internal medicine; Biology; Retinal; Neurotransmitter; Gliosis; Neuroinflammation; Inflammation; Diabetes mellitus; Neuroscience; Cell biology; Medicine; Neurotrophic factors; Central nervous system; Stem cell; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003632236,0.0002590042,0.0002595529,0.0002714228,0.0002146675,0.00003670095,0.0001382347,0.0002219132,0.00004678261],"category_scores_gemma":[0.0001083843,0.0002588297,0.00006013757,0.0003537878,0.00007312244,0.0002457437,0.0001056104,0.0002200575,0.0003462711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003329254,"about_ca_system_score_gemma":0.00009331324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002481357,"about_ca_topic_score_gemma":0.00001915007,"domain_scores_codex":[0.9982281,0.00029167,0.0003783689,0.0005237752,0.00009647255,0.0004816363],"domain_scores_gemma":[0.9993221,0.00007710829,0.0001142362,0.0003125691,0.00008722427,0.00008676929],"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":[0.0002519434,0.00007425604,0.000232556,0.00009635912,0.00001558378,0.00004806029,0.001096521,0.001613892,0.9875894,0.007706744,0.0004900245,0.0007846435],"study_design_scores_gemma":[0.004241271,0.00040387,0.01270936,0.0001859778,0.0001713114,0.00001323272,0.0004556043,0.09869646,0.7795888,0.1007238,0.001733221,0.001077129],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949411,0.0002594428,0.001925137,0.0002267724,0.0005006531,0.0004326274,0.001244309,0.0002520129,0.0002179343],"genre_scores_gemma":[0.9963791,0.0002418237,0.00009309915,0.0001086517,0.00004996729,0.0001111262,0.002237113,0.00003980637,0.0007392854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2080006,"threshold_uncertainty_score":0.9999864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256849166656139,"score_gpt":0.1965423481850122,"score_spread":0.1839738565184508,"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."}}