{"id":"W2332141348","doi":"10.1016/s0140-6736(16)00741-8","title":"The novel biomarker-based ABC (age, biomarkers, clinical history)-bleeding risk score for patients with atrial fibrillation: a derivation and validation study","year":2016,"lang":"en","type":"article","venue":"The Lancet","topic":"GDF15 and Related Biomarkers","field":"Medicine","cited_by":485,"is_retracted":false,"has_abstract":false,"ca_institutions":"Population Health Research Institute","funders":"NIH Clinical Center","keywords":"Medicine; Atrial fibrillation; Internal medicine; Apixaban; Dabigatran; Biomarker; Warfarin; Stroke (engine); Rivaroxaban; Cardiology; Cohort; Proportional hazards model","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001441661,0.0001457059,0.000286652,0.00005100667,0.0003138281,0.0000317876,0.000109147,0.0001020436,0.00000869654],"category_scores_gemma":[0.0006928919,0.00005797327,0.00009953629,0.0001335794,0.0002503756,0.00007359051,0.00002715545,0.00008885514,0.000002900241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001055814,"about_ca_system_score_gemma":0.00008534785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002547984,"about_ca_topic_score_gemma":0.00001361507,"domain_scores_codex":[0.9987555,0.0001459907,0.0003653832,0.0002411231,0.0002700911,0.000221976],"domain_scores_gemma":[0.9979928,0.001114105,0.0003112689,0.0003772716,0.0001380712,0.00006653004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009708999,0.00007568174,0.9579132,0.00002188154,0.0005439993,0.000001068401,0.0001258778,0.000002198756,0.0002343141,0.00002755905,0.004710159,0.02663512],"study_design_scores_gemma":[0.02294128,0.001162565,0.9575177,0.0001433521,0.0004888698,0.000002186064,0.00006627758,0.0004182807,0.00002532013,0.00005794284,0.01705458,0.0001216439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917135,0.0002092181,0.001608091,0.003928605,0.0005671445,0.001784081,0.00003093564,0.00005812956,0.0001002456],"genre_scores_gemma":[0.9982487,0.00009816027,0.0005837258,0.000078577,0.0008285978,0.00001529391,0.00004068379,0.0000222876,0.00008398642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02651347,"threshold_uncertainty_score":0.2413744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07577095737873864,"score_gpt":0.3186377171953366,"score_spread":0.2428667598165979,"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."}}