{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001218455,0.0001535044,0.0002388368,0.0001349486,0.000388286,0.00005059852,0.0001734972,0.0001017102,0.0003440986],"category_scores_gemma":[0.00004510465,0.0001144431,0.00006856221,0.0004857715,0.0008727638,0.000182927,0.00006936913,0.0001500493,0.0001276529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003588737,"about_ca_system_score_gemma":0.00007444913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001011217,"about_ca_topic_score_gemma":0.0002473183,"domain_scores_codex":[0.9981015,0.0002823628,0.0006452717,0.0005615416,0.0000976079,0.0003117423],"domain_scores_gemma":[0.9987667,0.00004100907,0.0003634589,0.0005853404,0.0002236907,0.00001980779],"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":[0.00002520409,0.0001262085,0.0003262228,0.000006419857,0.0000167725,0.00002209756,0.0008159524,0.00001853427,0.9941321,0.0009022797,0.0008125207,0.00279571],"study_design_scores_gemma":[0.0002280065,0.0001238431,0.002830165,0.00001994127,0.00001348523,0.0001233247,0.00008916318,0.00006269659,0.9899765,0.002883949,0.00352313,0.0001258397],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932923,0.0008379459,0.001701552,0.000193212,0.003449847,0.000403383,0.000003878904,0.00002813616,0.0000896986],"genre_scores_gemma":[0.9987195,0.000005568596,0.0001540715,0.00003822977,0.00007330278,0.00001906658,0.00008764601,0.00001245245,0.0008901939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005427123,"threshold_uncertainty_score":0.4666853,"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."}}