{"id":"W2586731807","doi":"10.1038/srep41749","title":"Transcriptional firing helps to drive NETosis","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neutrophil, Myeloperoxidase and Oxidative Mechanisms","field":"Immunology and Microbiology","cited_by":175,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Mitacs; Canadian Institutes of Health Research; Hospital for Sick Children; Sickkids Research Institute; Natural Sciences and Engineering Research Council of Canada; Cystic Fibrosis Canada","keywords":"Neutrophil extracellular traps; Cell biology; Transcription factor; NADPH oxidase; Kinase; Biology; Innate immune system; Transcription (linguistics); Gene; Immunology; Immune system; Reactive oxygen species; Genetics; Inflammation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001998672,0.0003158275,0.0002787099,0.0001100546,0.0001455856,0.0003707697,0.0002079586,0.0002986308,0.001220466],"category_scores_gemma":[0.0002853862,0.0001206691,0.0002764224,0.00006828188,0.000331225,0.0002650791,0.0002923546,0.0006438034,0.0005184925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002607805,"about_ca_system_score_gemma":0.0002319103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001248588,"about_ca_topic_score_gemma":0.0002347288,"domain_scores_codex":[0.9997403,0.00003471967,0.00002371395,0.00008322115,0.00006510912,0.00005295047],"domain_scores_gemma":[0.999744,0.00005264668,0.00008919116,0.00003275969,0.0000240011,0.00005746967],"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":[0.00006752064,0.00001833702,0.000247648,0.00002846022,0.000001489545,0.00002033798,0.000008079355,0.00003440943,0.9982314,0.0001326926,0.00002947295,0.001180133],"study_design_scores_gemma":[0.000007135912,0.0001182263,0.002153639,0.000006173845,0.000006351395,0.0001077002,0.00001614805,0.0006156294,0.9950617,0.00008712476,0.001817303,0.000002890931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712273,0.003507439,0.02115977,0.0005298823,0.000206733,0.00005058362,0.0003539728,0.0003686934,0.002595559],"genre_scores_gemma":[0.9926813,0.0009556054,0.003992117,0.0001350713,0.00003348333,0.00002997725,0.0003051168,0.00005626193,0.001810984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001220466,"threshold_uncertainty_score":0.004082859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02380704892863248,"score_gpt":0.2599410890933143,"score_spread":0.2361340401646818,"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."}}