{"id":"W3061354765","doi":"10.1126/science.aay5356","title":"Neutrophil extracellular traps target senescent vasculature for tissue remodeling in retinopathy","year":2020,"lang":"en","type":"article","venue":"Science","topic":"Neutrophil, Myeloperoxidase and Oxidative Mechanisms","field":"Immunology and Microbiology","cited_by":288,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre Hospitalier Universitaire Sainte-Justine; Montreal Clinical Research Institute; Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche; Canadian Diabetes Association; Canadian Institutes of Health Research; Mitacs; Heart and Stroke Foundation of Canada; Burroughs Wellcome Fund","keywords":"Diabetic retinopathy; Clearance; Neutrophil extracellular traps; Retinopathy; Blindness; Inflammation; Retinal; Extracellular; Medicine; Pathological; Pathology; Biology; Cell biology; Immunology; Diabetes mellitus; Ophthalmology; Endocrinology","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":[0.0005611436,0.000186011,0.0002632221,0.0001169202,0.000271767,0.0000332426,0.0005003668,0.0001402219,0.00009720241],"category_scores_gemma":[0.0001336397,0.0001627577,0.00007177443,0.0005998635,0.0003109323,0.0002289621,0.0001035744,0.0003045051,0.0001162107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004772871,"about_ca_system_score_gemma":0.0001423114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006914726,"about_ca_topic_score_gemma":0.000002547379,"domain_scores_codex":[0.9983255,0.00008096061,0.0002737163,0.0006785479,0.00008403221,0.0005572346],"domain_scores_gemma":[0.9994465,0.00003678774,0.00007346581,0.000258274,0.0001164417,0.00006859222],"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":[0.00007605764,0.00003530889,0.00006833096,0.00001956529,0.000004353526,0.00001404731,0.0006702256,0.0002136533,0.993225,0.002424681,0.00007366585,0.003175149],"study_design_scores_gemma":[0.0008494841,0.0002433535,0.0004000922,0.00003122955,0.000009693589,0.00001681735,0.0002026674,0.0005547964,0.9443727,0.001012662,0.05208344,0.0002230366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704757,0.004974753,0.01897382,0.003626131,0.0008958611,0.0007630427,0.00003430292,0.00009493708,0.0001615042],"genre_scores_gemma":[0.9948987,0.00005143313,0.003906268,0.0007699845,0.00007627416,0.00002416617,0.00002616868,0.00001704158,0.0002299964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05200977,"threshold_uncertainty_score":0.6637068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02468125903191598,"score_gpt":0.253013923406219,"score_spread":0.2283326643743031,"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."}}