{"id":"W2951857323","doi":"10.1097/01.hs9.0000564816.09273.68","title":"S1642 DEVELOPMENT OF A CLINICAL PREDICTION RULE FOR VENOUS THROMBOEMBOLISM IN PATIENTS WITH ACUTE LEUKEMIA","year":2019,"lang":"en","type":"article","venue":"HemaSphere","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Interquartile range; Pulmonary embolism; Internal medicine; Thrombosis; Acute leukemia; Venous thrombosis; Deep vein; Retrospective cohort study; Myeloid leukemia; Logistic regression; Surgery; Leukemia","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":[0.002028548,0.0006688142,0.0008667063,0.001929403,0.0003582081,0.001211814,0.0007295047,0.000655956,0.002060406],"category_scores_gemma":[0.01258283,0.0002193944,0.0008026341,0.0008370995,0.0001917053,0.0004392593,0.0004785043,0.0008870465,0.001016195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005168794,"about_ca_system_score_gemma":0.00130673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004330795,"about_ca_topic_score_gemma":0.003937748,"domain_scores_codex":[0.9990478,0.000285508,0.0001784696,0.0001571552,0.0002571421,0.00007382705],"domain_scores_gemma":[0.9947909,0.003001421,0.0007190983,0.0001399956,0.001069326,0.0002792137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005340994,0.0002093509,0.919991,0.0000697182,0.0001436188,0.000388299,0.00003423819,0.02310204,0.0004785175,0.0001977093,0.005543624,0.04930775],"study_design_scores_gemma":[0.0002499057,0.0005181268,0.212679,0.0001968623,0.0002933264,0.001689258,0.0001323135,0.7763647,0.001966748,0.002242022,0.00363176,0.00003603324],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9151195,0.0009816902,0.06936879,0.002708291,0.0002895347,0.0005705887,0.005512169,0.0009296478,0.004519709],"genre_scores_gemma":[0.9756654,0.0001792727,0.01981324,0.0001406548,0.00009814071,0.0001205926,0.003586543,0.00001441675,0.0003818006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004330795,"threshold_uncertainty_score":0.01072818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01625241081758144,"score_gpt":0.2907961034065933,"score_spread":0.2745436925890119,"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."}}