{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006338487,0.0001589427,0.0002091769,0.000139424,0.001827348,0.0002973604,0.0003505629,0.0001043314,0.001181767],"category_scores_gemma":[0.0001219714,0.0001395448,0.0001175422,0.00009004742,0.0003291391,0.0002578101,0.0001477367,0.0001518238,0.001185927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003387955,"about_ca_system_score_gemma":0.0000722625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003259213,"about_ca_topic_score_gemma":0.00004591453,"domain_scores_codex":[0.998399,0.00004850282,0.0003148268,0.0007452199,0.00009443604,0.0003980277],"domain_scores_gemma":[0.9984096,0.00001629885,0.0002027183,0.001169551,0.0001378189,0.00006404385],"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":[0.00001514424,0.00004015659,0.000796851,0.000004429761,0.0000370288,0.0001290719,0.0002863068,0.000005689713,0.982595,0.001223412,0.0108425,0.004024467],"study_design_scores_gemma":[0.0001646043,0.00004237273,0.007373896,0.00003231456,0.00001680531,0.0001641106,0.000044407,6.730871e-7,0.7591009,0.004085752,0.2288141,0.0001600804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781415,0.000275262,0.0008182063,0.001006573,0.01553651,0.0003012186,0.00001186463,0.00007151048,0.003837323],"genre_scores_gemma":[0.9749502,0.000003051215,0.0003435066,0.0001546989,0.00006349571,0.00003478197,0.00006560084,0.00001351959,0.02437114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2234941,"threshold_uncertainty_score":0.9997313,"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."}}