{"id":"W3039592711","doi":"10.1101/2020.07.01.20144121","title":"A network-informed analysis of SARS-CoV-2 and hemophagocytic lymphohistiocytosis genes’ interactions points to Neutrophil Extracellular Traps as mediators of thrombosis in COVID-19","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Montreal Heart Institute; Université de Montréal; McGill University Health Centre; Memorial University of Newfoundland; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Hemophagocytic lymphohistiocytosis; Neutrophil extracellular traps; Immunology; Thrombosis; Medicine; Coagulation; Platelet; Venous thrombosis; Coagulopathy; Disseminated intravascular coagulation; Inflammation; Pathology; Internal medicine; Disease","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":[0.0007121667,0.0005124008,0.0003956542,0.0006493782,0.0003309093,0.0006413436,0.0003966977,0.0006093575,0.003522419],"category_scores_gemma":[0.002126143,0.0001896868,0.0009654674,0.0003347107,0.000246941,0.0003789401,0.0003728255,0.0005506877,0.0002546051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004914107,"about_ca_system_score_gemma":0.000657969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009846546,"about_ca_topic_score_gemma":0.008814754,"domain_scores_codex":[0.9998252,0.0000805252,0.000005234897,0.0000455029,0.00001686434,0.00002677823],"domain_scores_gemma":[0.999155,0.0006519404,0.00005604558,0.00003503846,0.00005489671,0.00004701793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004378711,0.0001499887,0.04050722,0.0001474657,0.0004616279,0.0004407996,0.00008189482,0.9322514,0.002524072,0.00653509,0.003767031,0.01269552],"study_design_scores_gemma":[0.00002506238,0.00004077857,0.006223703,0.00001027304,0.00005304355,0.00004077919,0.0000470978,0.9875765,0.000220674,0.005032476,0.0007227102,0.0000069678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9288354,0.0007701478,0.05628932,0.002548389,0.0001512506,0.00005197742,0.007294528,0.0005100379,0.003548992],"genre_scores_gemma":[0.9770573,0.0002387203,0.0144202,0.0001803893,0.00004126143,0.00005155451,0.005985814,0.00003980641,0.00198488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009846546,"threshold_uncertainty_score":0.01957846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1180316765969804,"score_gpt":0.4447888477569666,"score_spread":0.3267571711599863,"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."}}