{"id":"W4409800124","doi":"10.1016/j.jtha.2025.04.018","title":"Venous thromboembolism after hospitalization for COVID-19: venous thrombosis virtual surveillance in COVID study","year":2025,"lang":"en","type":"article","venue":"Journal of Thrombosis and Haemostasis","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Canadian Respiratory Research Network; McMaster University; University of Calgary; McGill University; Windsor Regional Hospital; University of Toronto; Université de Montréal; Hôpital Maisonneuve-Rosemont; University of Manitoba; Ottawa Hospital","funders":"Canadian Institutes of Health Research","keywords":"Coronavirus disease 2019 (COVID-19); Medicine; Venous thromboembolism; Venous thrombosis; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Thrombosis; Coronavirus Infections; Intensive care medicine; Internal medicine; Virology; Outbreak; 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":[0.001296159,0.0003738806,0.0005743341,0.0009524031,0.0007849786,0.001855381,0.0005797606,0.000628713,0.001645298],"category_scores_gemma":[0.004484268,0.0003566949,0.0006512701,0.001834474,0.0002807487,0.001014504,0.001843353,0.001066104,0.0002688553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006779311,"about_ca_system_score_gemma":0.001180894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01382118,"about_ca_topic_score_gemma":0.02073735,"domain_scores_codex":[0.9985844,0.0003897223,0.0002185839,0.0003171291,0.0002148223,0.0002753519],"domain_scores_gemma":[0.9974449,0.000367506,0.0009084145,0.000305472,0.000279472,0.000694286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004148865,0.00007611397,0.9963177,0.00002945918,0.0001472292,0.00009010211,0.0001240137,0.000022225,0.00006408108,0.00008120911,0.0009695245,0.001663451],"study_design_scores_gemma":[0.0001269348,0.0002170587,0.996686,0.00007741224,0.0001425829,0.0004135263,0.0008244672,0.0001701744,0.00005524996,0.00007464946,0.001197827,0.0000140906],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909635,0.0006687539,0.0001582293,0.0002443478,0.00004763126,0.00009908924,0.005986932,0.000008363666,0.001823262],"genre_scores_gemma":[0.9922517,0.0003171243,0.0002769975,0.0002372089,0.00007070672,0.00008237075,0.006394158,0.000006481057,0.0003631454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01382118,"threshold_uncertainty_score":0.0274815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03891630477522905,"score_gpt":0.3682399809692308,"score_spread":0.3293236761940018,"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."}}