{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001747482,0.0004816288,0.0009180646,0.0007030885,0.0001693216,0.0005995304,0.0004408651,0.0005667506,0.001513459],"category_scores_gemma":[0.004482578,0.0001768168,0.0007887821,0.0007685449,0.0002255025,0.000261025,0.0004110887,0.0008690949,0.0002756097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005477783,"about_ca_system_score_gemma":0.000471645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001329753,"about_ca_topic_score_gemma":0.00171843,"domain_scores_codex":[0.9992765,0.0002952392,0.00008129049,0.0001779138,0.000110099,0.00005913665],"domain_scores_gemma":[0.9974554,0.0008850057,0.0008438528,0.0001023959,0.0002413479,0.000471927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008319365,0.0001080176,0.9732314,0.00009829376,0.0004146554,0.00002611001,0.00002221073,0.0005720682,0.0003699409,0.0000427025,0.0006435528,0.01615179],"study_design_scores_gemma":[0.001815394,0.003026675,0.9732105,0.000167567,0.0009738959,0.0004177664,0.00007415042,0.01627566,0.001175275,0.0005444534,0.002277972,0.00004073669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891811,0.007783736,0.0005185963,0.0003464042,0.00009926888,0.00008085155,0.001092884,0.00003306573,0.0008640466],"genre_scores_gemma":[0.9972484,0.0006287034,0.001019332,0.0001118376,0.00003734057,0.00004518605,0.0007035751,0.000002577109,0.0002030777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001747482,"threshold_uncertainty_score":0.0092417,"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."}}