{"id":"W3016393661","doi":"10.1084/jem.20200652","title":"Targeting potential drivers of COVID-19: Neutrophil extracellular traps","year":2020,"lang":"en","type":"article","venue":"The Journal of Experimental Medicine","topic":"Neutrophil, Myeloperoxidase and Oxidative Mechanisms","field":"Immunology and Microbiology","cited_by":1583,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of Allergy and Infectious Diseases; National Heart, Lung, and Blood Institute; National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute","keywords":"ARDS; Neutrophil extracellular traps; Cytokine storm; Coronavirus disease 2019 (COVID-19); Autopsy; Diffuse alveolar damage; Immunology; Cytokine; Lung; Coronavirus; Medicine; Disease; Inflammation; Infectious disease (medical specialty); Acute respiratory distress; Pathology; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003152367,0.0003759794,0.0002810125,0.0001900043,0.0002050341,0.0004914112,0.0002582094,0.0005408223,0.001332941],"category_scores_gemma":[0.0001804053,0.00008369333,0.0001681085,0.00008125196,0.0003120899,0.0005181121,0.0004872207,0.0007202359,0.0001928726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002413278,"about_ca_system_score_gemma":0.0002895186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001467581,"about_ca_topic_score_gemma":0.0004066692,"domain_scores_codex":[0.999879,0.00002739198,0.00001038163,0.00001713981,0.00002706921,0.00003905468],"domain_scores_gemma":[0.9999024,0.00001680545,0.00004097908,0.000003101873,0.00001334337,0.00002340944],"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":[0.0006539794,0.0002346391,0.006685014,0.001220683,0.00004410997,0.002704418,0.0001423609,0.0003144275,0.9225567,0.005151084,0.001640164,0.05865251],"study_design_scores_gemma":[0.0002040174,0.005229184,0.03838883,0.0005335179,0.0002310292,0.02402755,0.0007210419,0.00365652,0.7899641,0.006226025,0.1307727,0.00004552759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7315927,0.2209941,0.02207443,0.0143672,0.0009138045,0.0002965328,0.0004136688,0.0002141352,0.009133541],"genre_scores_gemma":[0.9431046,0.04749417,0.005026064,0.001245928,0.0003868015,0.00006809271,0.0001672258,0.000008294053,0.002498835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001332941,"threshold_uncertainty_score":0.004459143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02768853659680871,"score_gpt":0.2733030675522818,"score_spread":0.2456145309554731,"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."}}