{"id":"W3139993060","doi":"10.1007/s11239-021-02435-1","title":"Bedside thromboelastography to rapidly assess the pharmacodynamic response of anticoagulants and aspirin in COVID-19: evidence of inadequate therapy in a predominantly minority population","year":2021,"lang":"en","type":"article","venue":"Journal of Thrombosis and Thrombolysis","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Idorsia Pharmaceuticals; Medicure; Bayer HealthCare; US WorldMeds; Amgen","keywords":"Thromboelastography; Medicine; Aspirin; Pharmacodynamics; Coronavirus disease 2019 (COVID-19); Intensive care medicine; Population; Thrombelastography; Internal medicine; Coagulation; Pharmacokinetics; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005264871,0.0004372146,0.0006398076,0.000873262,0.0004230253,0.0009987334,0.0005864,0.000712878,0.001268904],"category_scores_gemma":[0.01345439,0.0002221345,0.000376045,0.0008031467,0.0003897811,0.000612783,0.0005762637,0.0007684515,0.0002658648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003281863,"about_ca_system_score_gemma":0.0006547057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002732201,"about_ca_topic_score_gemma":0.003988402,"domain_scores_codex":[0.9970215,0.001686284,0.0003377573,0.0002198558,0.0004995103,0.0002350358],"domain_scores_gemma":[0.9923867,0.003238748,0.002035633,0.0005995199,0.001074784,0.0006647073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002734731,0.0004449067,0.9880431,0.00007500364,0.0002063973,0.0001104544,0.0002571989,0.00001886339,0.001110619,0.00005111951,0.0001207145,0.006826829],"study_design_scores_gemma":[0.0003063294,0.003736098,0.9927722,0.00008251541,0.0002365521,0.0005781975,0.0005885295,0.0002282948,0.0006935733,0.00004492497,0.0007229678,0.000009802045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971547,0.001044153,0.000132485,0.0001262417,0.00001756149,0.00005822522,0.0001498146,0.000002247474,0.001314411],"genre_scores_gemma":[0.9985089,0.000385916,0.0004052512,0.0001776463,0.00005372698,0.00003951452,0.0002421689,0.000003494143,0.0001834273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005264871,"threshold_uncertainty_score":0.02784365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1192143769453648,"score_gpt":0.4661487058414798,"score_spread":0.346934328896115,"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."}}