{"id":"W4413139273","doi":"10.1182/blood.2024027879","title":"Molecular determinants of thrombosis recurrence risk across venous thromboembolism subtypes","year":2025,"lang":"en","type":"article","venue":"Blood","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Public Health Ontario; University of Toronto","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Institutes of Health; University of Toronto; School of Medicine, Boston University; Fondation pour la Recherche Médicale; Agence Nationale de la Recherche; Université de Bordeaux","keywords":"Medicine; Mendelian randomization; Pulmonary embolism; Internal medicine; Hazard ratio; Deep vein; Von Willebrand factor; Thrombosis; Gastroenterology; Incidence (geometry); Venous thrombosis; Genotype; Confidence interval; Gene; Genetics; Genetic variants","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":[0.0003051248,0.0002426438,0.0003445425,0.0006051744,0.0002082626,0.0003644519,0.0002120428,0.0003510068,0.001399686],"category_scores_gemma":[0.001201257,0.0000969275,0.0004803112,0.0008358188,0.000152342,0.0001220487,0.0002833717,0.0002839459,0.0001762495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001491818,"about_ca_system_score_gemma":0.0001333281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001624185,"about_ca_topic_score_gemma":0.001367191,"domain_scores_codex":[0.9997178,0.00006031814,0.00003768196,0.00009245259,0.00004179905,0.00004999901],"domain_scores_gemma":[0.9993862,0.0001575184,0.0002666183,0.00004859325,0.00005276227,0.00008825507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007245303,0.00002667365,0.9880022,0.00002651309,0.000355339,0.0002454628,0.00005669907,0.0001633884,0.005872657,0.00005237879,0.0002032657,0.004270895],"study_design_scores_gemma":[0.00002477229,0.0001107617,0.9974384,0.000006136707,0.0001813162,0.0009334029,0.00004719488,0.0005183629,0.0004580726,0.00007296203,0.0002045602,0.00000402495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992151,0.0002839243,0.0001132965,0.0000199169,0.000002469889,0.000003204294,0.0002228843,0.000003032328,0.0001361306],"genre_scores_gemma":[0.9994076,0.00005979031,0.00006704401,0.000008373619,0.000003855159,0.000003221923,0.0003675006,0.000001854689,0.00008076416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001624185,"threshold_uncertainty_score":0.004682422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298397933631669,"score_gpt":0.3093731028120288,"score_spread":0.2963891234757121,"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."}}