{"id":"W4289918655","doi":"10.1038/s41577-022-00762-9","title":"Understanding COVID-19-associated coagulopathy","year":2022,"lang":"en","type":"review","venue":"Nature reviews. Immunology","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":359,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute; National Institute on Aging; Canadian Institutes of Health Research; Department of Internal Medicine, University of Utah; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Coagulopathy; Immune system; Coagulation; Pathogenesis; Medicine; Categorization; Innate immune system; Thrombosis; Endothelium; Immunology; Endothelial dysfunction; Coronavirus disease 2019 (COVID-19); Bioinformatics; Intensive care medicine; Biology; Disease; Pathology; Cardiology; Computer science; Internal medicine","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":[0.001637035,0.001190026,0.001922744,0.002480884,0.00031326,0.001755882,0.001245079,0.002159372,0.004743687],"category_scores_gemma":[0.00265115,0.0003614374,0.0008149271,0.002247094,0.0007451774,0.001824984,0.001311977,0.00336721,0.002099648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143445,"about_ca_system_score_gemma":0.001870662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001262333,"about_ca_topic_score_gemma":0.002315991,"domain_scores_codex":[0.9996206,0.00009150961,0.00006076323,0.0000550049,0.0001311467,0.00004089021],"domain_scores_gemma":[0.9985733,0.000816503,0.0001707732,0.00003252973,0.0003050128,0.0001018792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001740056,0.00005115003,0.0001830969,0.02912304,0.0002255488,0.0001537442,0.00004017976,0.0002671175,0.0007554236,0.00429774,0.08765917,0.8770697],"study_design_scores_gemma":[0.00006478314,0.0001166218,0.0007406546,0.0168832,0.0003444302,0.0008801734,0.00005881966,0.00009103168,0.0002522749,0.003809792,0.9767319,0.00002633957],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001697587,0.9989225,0.00003402764,0.0004787996,0.0002744773,0.000002068856,0.000009125903,0.000002776203,0.0002593138],"genre_scores_gemma":[0.0001527913,0.9990319,0.00004072695,0.0003232787,0.000293492,0.000003694065,0.00001521439,5.555524e-7,0.0001383896],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004743687,"threshold_uncertainty_score":0.01586926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4103678272314628,"score_gpt":0.5368648402843905,"score_spread":0.1264970130529277,"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."}}