{"id":"W4388597219","doi":"10.1016/j.rpth.2023.101720","title":"PB0976 Usefulness of Different Clinical Risk Scores to Predict In-Hospital Mortality in Patients with Acute Pulmonary Embolism and Cancer","year":2023,"lang":"en","type":"article","venue":"Research and Practice in Thrombosis and Haemostasis","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Pulmonary embolism; Medicine; Intensive care medicine; Emergency medicine; Cancer; Internal medicine","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":[0.001126357,0.0005736032,0.0007211331,0.00101299,0.0002783835,0.001190304,0.0003470342,0.0005529533,0.003759037],"category_scores_gemma":[0.00504846,0.000195763,0.0006470939,0.001011234,0.0003069039,0.0005251059,0.0005702062,0.0008445333,0.0008898544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002827486,"about_ca_system_score_gemma":0.0005380987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001368723,"about_ca_topic_score_gemma":0.001926473,"domain_scores_codex":[0.9992375,0.0003399956,0.00009783117,0.00009977937,0.0001364163,0.00008847535],"domain_scores_gemma":[0.9980514,0.0008498285,0.0003728294,0.0001188403,0.000249171,0.0003579214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00168102,0.00009110053,0.9766712,0.00005693699,0.000258286,0.0001838341,0.00002961742,0.0003604491,0.0005830943,0.0001255777,0.0007042023,0.01925481],"study_design_scores_gemma":[0.0001052751,0.0005521798,0.9925205,0.00006124726,0.0002430584,0.0009773166,0.000108218,0.002870434,0.0004123853,0.0006474925,0.001477703,0.00002429785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841803,0.004372678,0.001057634,0.0008546678,0.0001919527,0.00004077802,0.0009365038,0.00004723161,0.008318188],"genre_scores_gemma":[0.996678,0.000570022,0.0007873933,0.0001226105,0.0001385542,0.00001779333,0.0008791873,0.000009472164,0.0007970552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003759037,"threshold_uncertainty_score":0.01257521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1205384768562293,"score_gpt":0.4462876062165101,"score_spread":0.3257491293602808,"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."}}