{"id":"W4389243157","doi":"10.1182/blood-2023-180776","title":"Development of a Combined Risk Assessment Model for Venous Thromboembolism and Bleeding in Hematopoietic Stem Cell Transplantation Patients","year":2023,"lang":"en","type":"article","venue":"Blood","topic":"Myeloproliferative Neoplasms: Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Thrombosis; Pulmonary embolism; Population; Surgery; Retrospective cohort study; Transplantation; Venous thrombosis; Internal medicine; Hematopoietic stem cell transplantation; Deep vein","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004128136,0.001186558,0.001444897,0.001711898,0.0005809033,0.002103536,0.001664359,0.001171915,0.004063602],"category_scores_gemma":[0.008027964,0.0006921118,0.001641786,0.0007044728,0.0002650283,0.0006453447,0.001050791,0.001844253,0.0007358004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001422184,"about_ca_system_score_gemma":0.002624536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02226395,"about_ca_topic_score_gemma":0.01412814,"domain_scores_codex":[0.9990626,0.0004420474,0.00008807569,0.0001855924,0.0001156252,0.0001059752],"domain_scores_gemma":[0.9960367,0.002909346,0.0002877919,0.0000591071,0.0005367757,0.0001702259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007035855,0.0004655022,0.1055963,0.0001073425,0.0006862138,0.0004188251,0.0001469859,0.8236594,0.0005211618,0.002067949,0.003304107,0.06232258],"study_design_scores_gemma":[0.00002644438,0.0000488368,0.001680895,0.00001079889,0.00004988905,0.00004665172,0.00001294448,0.9972938,0.00005788871,0.000559526,0.0002058178,0.000006449099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3618071,0.0008610648,0.6242157,0.003223717,0.000186036,0.0007863642,0.003256189,0.001926725,0.003736984],"genre_scores_gemma":[0.863546,0.0003028435,0.1299273,0.0002851462,0.0000872095,0.0009569874,0.002136684,0.00007296626,0.002684818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02226395,"threshold_uncertainty_score":0.04426873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02285968607700626,"score_gpt":0.2749056066594385,"score_spread":0.2520459205824322,"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."}}