{"id":"W1986111003","doi":"10.1177/1076029613481105","title":"Venous Thromboembolism in Elderly High-Risk Medical Patients","year":2013,"lang":"en","type":"article","venue":"Clinical and Applied Thrombosis/Hemostasis","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trillium Health Centre; University of Toronto; University of Calgary","funders":"","keywords":"Medicine; Venous thromboembolism; Medical record; Emergency medicine; Intensive care medicine; Medical illness; Population; Pediatrics; Internal medicine; Thrombosis; Diabetes mellitus","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009076056,0.0004993602,0.002075384,0.0001847768,0.0002207306,0.00009452785,0.000327345,0.000596068,0.002208918],"category_scores_gemma":[0.0004494411,0.0004068544,0.0002544469,0.0004308726,0.0006072099,0.0001569003,0.000404569,0.0009847706,0.0007633299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006162015,"about_ca_system_score_gemma":0.0001215289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001070212,"about_ca_topic_score_gemma":0.0001041151,"domain_scores_codex":[0.9955267,0.0001478984,0.001491128,0.001080982,0.0009014523,0.0008518694],"domain_scores_gemma":[0.9974572,0.0005093407,0.0003017152,0.0007141026,0.0001371086,0.000880525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008677165,0.01070476,0.2920774,0.0002282614,0.0006313183,0.00002148505,0.0004203556,0.000002983748,0.00004348018,0.006413104,0.02739301,0.6619771],"study_design_scores_gemma":[0.005998886,0.001221773,0.9814866,0.0002004048,0.0004095399,0.000002923287,0.000285749,0.00005362774,0.0001508116,0.005644483,0.004081648,0.000463566],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867803,0.0001824865,0.0000372482,0.003559834,0.000507311,0.001824859,0.00002510691,0.0001503616,0.006932481],"genre_scores_gemma":[0.9882604,0.004128727,0.001105164,0.005590201,0.0003722675,0.0003226719,0.00008838975,0.00007704894,0.0000550552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6894092,"threshold_uncertainty_score":0.9998384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193357196999623,"score_gpt":0.3021439865989951,"score_spread":0.2802104146289989,"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."}}