{"id":"W4412785377","doi":"10.1055/a-2668-5296","title":"Time Trends in Cause-Specific Mortality in Patients with Pulmonary Embolism Aged 50 Years and Older","year":2025,"lang":"en","type":"article","venue":"Thrombosis and Haemostasis","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Thrombosis and Atherosclerosis Research Institute","funders":"Göteborgs Läkaresällskap; Hjärt-Lungfonden","keywords":"Medicine; Relative risk; Pulmonary embolism; Confidence interval; Internal medicine; Poisson regression; Mortality rate; Population; Relative survival; Cause of death; Epidemiology; Disease; Cancer registry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000819697,0.000186748,0.0002989646,0.001502361,0.0001998249,0.0004376389,0.0002991967,0.0003828068,0.0008149337],"category_scores_gemma":[0.003354496,0.0001538046,0.0005832012,0.001840182,0.0001239186,0.0003723062,0.0002891397,0.0003579524,0.0001534637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003754034,"about_ca_system_score_gemma":0.0003620021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01242927,"about_ca_topic_score_gemma":0.01149184,"domain_scores_codex":[0.9994863,0.0000970618,0.00009415684,0.0001372239,0.0001088538,0.00007633114],"domain_scores_gemma":[0.9978909,0.0003425955,0.001285174,0.0001085763,0.0002518139,0.000120946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006213907,0.000006745238,0.9987483,0.0000118966,0.00005788756,0.0000220885,0.00004070095,0.00004985201,0.00003612727,0.00001149627,0.0001028439,0.0008498447],"study_design_scores_gemma":[0.000002502735,0.0000226391,0.9996037,0.00000474378,0.00002494851,0.00007535105,0.00004775429,0.0000740088,0.00001660346,0.00001272713,0.0001133095,0.000001693256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957101,0.001006794,0.0001046395,0.00007702701,0.00001139607,0.000006824556,0.002570536,0.000009651999,0.0005029018],"genre_scores_gemma":[0.9965663,0.0004253246,0.00009089574,0.00002498005,0.00001553569,0.0000132499,0.002714663,0.000002521683,0.000146539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01242927,"threshold_uncertainty_score":0.02471381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02742569271756552,"score_gpt":0.2929616560520636,"score_spread":0.2655359633344981,"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."}}