{"id":"W4309344246","doi":"10.1016/j.jaccao.2022.10.001","title":"The Value of Performance Status in Predicting Clinical Outcomes in Patients With Cancer-Associated Pulmonary Embolism","year":2022,"lang":"en","type":"editorial","venue":"JACC CardioOncology","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Pulmonary embolism; Medicine; Internal medicine; Value (mathematics); Cancer; Intensive care medicine; Cardiology; Statistics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002042684,0.0003733944,0.00260283,0.0002887798,0.0001429758,0.00001337859,0.0003584733,0.0006994788,0.00004565377],"category_scores_gemma":[0.001583895,0.000266029,0.0003127182,0.0004410031,0.000198531,0.00006569093,0.0004675048,0.001892149,0.000002020644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574086,"about_ca_system_score_gemma":0.001420476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002819693,"about_ca_topic_score_gemma":0.002031022,"domain_scores_codex":[0.9954776,0.0006762254,0.001237291,0.0006310201,0.001178001,0.0007998847],"domain_scores_gemma":[0.9957765,0.002432868,0.0008257575,0.000584517,0.0002661776,0.0001141837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007398955,0.001394758,0.8535412,0.00015157,0.0008353385,0.00006805736,0.0002363786,0.0003969503,8.126833e-8,0.00001281371,0.1335597,0.009063237],"study_design_scores_gemma":[0.00403447,0.00136768,0.6433004,0.000175521,0.0003871724,3.143096e-7,0.0001896489,0.00005192388,1.897875e-7,0.000002928891,0.3503359,0.0001539483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6563023,0.0004565491,2.193227e-7,0.0002344461,0.3390185,0.001493111,0.0002400092,0.00002916909,0.002225752],"genre_scores_gemma":[0.8733488,0.01318565,0.00002624928,0.0002317353,0.1101322,0.001439892,0.0009184491,0.0001447301,0.0005722519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2288863,"threshold_uncertainty_score":0.9999792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112106383540757,"score_gpt":0.306274388623875,"score_spread":0.2951533247884674,"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."}}