{"id":"W2789561812","doi":"10.1038/s41598-018-22156-5","title":"Neutrophil extracellular trap-microparticle complexes enhance thrombin generation via the intrinsic pathway of coagulation in mice","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Neutrophil, Myeloperoxidase and Oxidative Mechanisms","field":"Immunology and Microbiology","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"Medical Research Council; Einar och Inga Nilssons Stiftelse för Kirurgiforskning och Forskning inom Jordbruket; Svenska Läkaresällskapet; Magnus Bergvalls Stiftelse; Greta och Johan Kocks stiftelser; Ruth och Richard Julins Stiftelse; Malmö Högskola; Lunds Universitet; Crafoordska Stiftelsen","keywords":"Neutrophil extracellular traps; Thrombin; Coagulation; Chemistry; Sepsis; Tissue factor; Hemostasis; Cell biology; Inflammation; Molecular biology; Immunology; Platelet; Biology; Medicine; 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":[0.0005305697,0.0007608519,0.0004739991,0.0009128785,0.0002276546,0.0005386791,0.0004506054,0.0008550195,0.00187634],"category_scores_gemma":[0.0002883226,0.0003781322,0.0005124647,0.0002191809,0.0005134144,0.0005206567,0.0003851797,0.001581645,0.0006033346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004628995,"about_ca_system_score_gemma":0.0003449827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003570362,"about_ca_topic_score_gemma":0.0005324764,"domain_scores_codex":[0.9994839,0.0001203668,0.00005740762,0.0001056838,0.0001159072,0.000116617],"domain_scores_gemma":[0.9995288,0.00005778354,0.0001685207,0.00004937937,0.00002926714,0.0001662609],"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":[0.0007913328,0.0003388406,0.0001735268,0.00008285693,0.00001404882,0.0001093775,0.00004074724,0.00007659236,0.9958369,0.0003605015,0.0001311729,0.002044116],"study_design_scores_gemma":[0.0002373891,0.003584658,0.00332433,0.00003086369,0.00005590078,0.0004854566,0.00004329027,0.001496333,0.9865971,0.0002356725,0.003895408,0.00001373285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839205,0.00268013,0.008481451,0.0006585532,0.0001527977,0.0002280821,0.001087283,0.0004069735,0.002384244],"genre_scores_gemma":[0.983717,0.001800707,0.006694357,0.0002876917,0.00006351328,0.0003169039,0.0008363235,0.00008371658,0.006199726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00187634,"threshold_uncertainty_score":0.006277025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02172390869933634,"score_gpt":0.2463789334592749,"score_spread":0.2246550247599386,"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."}}