{"id":"W2492552840","doi":"10.1183/13993003.00280-2016","title":"Prediction of bleeding events in patients with venous thromboembolism on stable anticoagulation treatment","year":2016,"lang":"en","type":"article","venue":"European Respiratory Journal","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":235,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Thrombosis and Atherosclerosis Research Institute","funders":"Bundesministerium für Bildung und Forschung","keywords":"Medicine; Dabigatran; Bleed; Warfarin; Internal medicine; Incidence (geometry); Framingham Risk Score; Venous thromboembolism; Logistic regression; Population; Surgery; Atrial fibrillation; Thrombosis; Disease","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":[0.005073813,0.0005429328,0.002004533,0.001005281,0.0001906851,0.0008477439,0.0004017128,0.0007205472,0.0005300433],"category_scores_gemma":[0.01708883,0.0003341492,0.002088921,0.0009966376,0.0003200614,0.0005367604,0.0004927057,0.0008665316,0.00009859353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003100699,"about_ca_system_score_gemma":0.0004185154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001516562,"about_ca_topic_score_gemma":0.001581898,"domain_scores_codex":[0.9960707,0.002614216,0.0003822909,0.0003207285,0.0005000308,0.0001119955],"domain_scores_gemma":[0.9919773,0.005238666,0.001484706,0.0003688731,0.0005148604,0.0004157012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01317653,0.0001210104,0.9698815,0.0001588614,0.002354336,0.0000772164,0.00007748831,0.001282856,0.0003023265,0.00006931429,0.0002078532,0.01229074],"study_design_scores_gemma":[0.002592113,0.005798873,0.9749903,0.00009943755,0.002588876,0.0002981458,0.00009607773,0.01199803,0.0003653503,0.0006673926,0.0004658028,0.0000394115],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960887,0.002547635,0.0006170406,0.0001166571,0.00002228326,0.00004261626,0.0001974109,0.000006163771,0.0003614464],"genre_scores_gemma":[0.9989679,0.0003208718,0.0002878727,0.00003237154,0.0000202274,0.00001550933,0.0002974229,0.000001419477,0.00005642655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005073813,"threshold_uncertainty_score":0.02683324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0343804118709522,"score_gpt":0.2486849554634371,"score_spread":0.2143045435924849,"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."}}