{"id":"W3043854567","doi":"10.1182/blood.2020007335","title":"COVID-19 coagulopathy, thrombosis, and bleeding","year":2020,"lang":"en","type":"letter","venue":"Blood","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Alexion Pharmaceuticals; Apellis Pharmaceuticals; Sanofi","keywords":"Coagulopathy; Medicine; Coronavirus disease 2019 (COVID-19); Thrombosis; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Intensive care medicine; Virology; Surgery; Internal medicine; Outbreak; Disease; Infectious disease (medical specialty)","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":[0.004057181,0.0009806976,0.001711503,0.001342284,0.002994041,0.004041824,0.001670442,0.02457558,0.006368945],"category_scores_gemma":[0.02215817,0.0008110629,0.0009588607,0.001250111,0.001912178,0.003045088,0.001288065,0.02267698,0.005606917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003221483,"about_ca_system_score_gemma":0.004226517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004585459,"about_ca_topic_score_gemma":0.01214308,"domain_scores_codex":[0.995669,0.001202744,0.0006728708,0.0004630451,0.001599203,0.0003932025],"domain_scores_gemma":[0.9867054,0.007416723,0.001006208,0.0003899345,0.002378406,0.002103447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007812386,0.00005217136,0.001853302,0.00005594523,0.00001853482,0.0008443568,0.00003433035,0.00002451473,0.00008851277,0.0006367937,0.986972,0.009341281],"study_design_scores_gemma":[0.0004022588,0.0002186748,0.008857107,0.001024298,0.0001271477,0.004203975,0.0005164711,0.0007508775,0.0004139947,0.00553021,0.9778476,0.0001073671],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.000723599,0.004791738,0.0001049269,0.9147138,0.07434224,0.00002640706,0.000245292,0.00004353282,0.005008428],"genre_scores_gemma":[0.004485655,0.004341918,0.0002435078,0.6811336,0.3039247,0.00003943519,0.0001754815,0.00003086337,0.005624928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02457558,"threshold_uncertainty_score":0.0233736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1176025850951651,"score_gpt":0.4232910130982565,"score_spread":0.3056884280030913,"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."}}