{"id":"W3081515108","doi":"10.1016/j.jacc.2020.08.041","title":"Anticoagulation, Bleeding, Mortality, and Pathology in Hospitalized Patients With COVID-19","year":2020,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":480,"is_retracted":false,"has_abstract":false,"ca_institutions":"Heart and Stroke Foundation; University of Toronto","funders":"National Center for Advancing Translational Sciences; National Institutes of Health","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Intensive care medicine; Pathology; Internal medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006731756,0.000111213,0.00117117,0.0001210137,0.00004134307,0.000002226373,0.0001815203,0.00004189167,0.00000528286],"category_scores_gemma":[0.02133215,0.00006434856,0.0001646995,0.0005082093,0.001199889,0.00003925672,0.0002019842,0.0003097565,3.138561e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009435841,"about_ca_system_score_gemma":0.0005045411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003039514,"about_ca_topic_score_gemma":0.000005434102,"domain_scores_codex":[0.9982995,0.0003643977,0.0005805293,0.0001697303,0.0003925526,0.0001932229],"domain_scores_gemma":[0.996982,0.001538895,0.0006783435,0.0001817618,0.0003678554,0.0002511237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001559715,0.00004137484,0.9958012,0.00009483581,0.0003180692,0.0003114185,0.0001056847,0.0004422968,0.0001874242,0.00004790768,0.000995273,0.00009487424],"study_design_scores_gemma":[0.003825166,0.003155617,0.9902321,0.00003595587,0.0001830454,0.00004801645,0.0001597945,0.00005653136,0.00001426245,0.0002249465,0.002003913,0.00006067993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696516,0.0000843459,0.0004590708,0.02934099,0.00006385108,0.0002976515,0.00003317928,0.000004165628,0.00006513064],"genre_scores_gemma":[0.9951756,0.000295455,0.0003136591,0.004064489,0.0001289597,0.000002814282,6.517326e-7,0.000009569781,0.00000879149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02552399,"threshold_uncertainty_score":0.9869116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04837772163822116,"score_gpt":0.3907833201323938,"score_spread":0.3424055984941726,"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."}}