{"id":"W3205811878","doi":"10.1111/jth.15559","title":"Growth differentiation factor‐15 for prediction of bleeding in cancer patients","year":2021,"lang":"en","type":"article","venue":"Journal of Thrombosis and Haemostasis","topic":"GDF15 and Related Biomarkers","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Canadian Institutes of Health Research; Roche Diagnostics; Pfizer","keywords":"Medicine; Apixaban; Hazard ratio; Internal medicine; Confidence interval; Atrial fibrillation; GDF15; Biomarker; Surrogate endpoint; Cancer; Major bleeding; Gastroenterology; Cardiology; Oncology; Rivaroxaban; Warfarin","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00009587946,0.00006733031,0.0002838582,0.0001293863,0.00003067836,0.000009340656,0.0000218177,0.00008619016,0.00005135245],"category_scores_gemma":[0.00007943392,0.00004916896,0.0001069276,0.000138125,0.00001992303,0.00009797927,0.00001226817,0.00009629882,7.736956e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006301401,"about_ca_system_score_gemma":0.00005489964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002071839,"about_ca_topic_score_gemma":0.000009031512,"domain_scores_codex":[0.9992534,0.00001806877,0.0003808292,0.00007831356,0.0001794744,0.00008994994],"domain_scores_gemma":[0.9991851,0.00003814257,0.0002659308,0.00003728963,0.0004141518,0.00005941122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001892097,0.0003643507,0.9684562,0.0002478102,0.0004223736,0.000001663632,0.0005086808,0.000002230539,0.02123882,0.00001287313,0.001203598,0.007352213],"study_design_scores_gemma":[0.003193299,0.0003642695,0.9604127,0.0005582365,0.0003363584,0.000005888708,0.0002428522,0.0001364371,0.0345419,0.00006124941,0.0001068914,0.00003996276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976658,0.0007247065,0.00008374072,0.0009437387,0.0003403258,0.000109062,0.00007749798,0.000002139367,0.00005301882],"genre_scores_gemma":[0.9957631,0.003799893,0.0002919605,0.00004665831,0.00005927276,0.000001851727,0.00001655694,0.000007365662,0.00001335978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01330309,"threshold_uncertainty_score":0.2005052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05981522840724549,"score_gpt":0.3208051034898233,"score_spread":0.2609898750825778,"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."}}