{"id":"W3047162430","doi":"10.1016/j.ekir.2020.07.033","title":"Calcification Biomarkers, Subclinical Vascular Disease, and Mortality Among Multiethnic Dialysis Patients","year":2020,"lang":"en","type":"article","venue":"Kidney International Reports","topic":"Parathyroid Disorders and Treatments","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Internal medicine; Pulse wave velocity; Cardiology; Fibroblast growth factor 23; Subclinical infection; Dialysis; Arterial stiffness; Osteoprotegerin; Kidney disease; Hemodialysis; Population; Matrix gla protein; End stage renal disease; Hyperphosphatemia; Parathyroid hormone; Blood pressure; Calcium","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":[0.000592254,0.0002656739,0.0003868227,0.0004129318,0.0003893646,0.0006842525,0.0002283518,0.0003448078,0.001207896],"category_scores_gemma":[0.001335595,0.0001486541,0.0003040606,0.0006574938,0.0001808839,0.0003303502,0.0004352838,0.0005173947,0.0001221874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001742033,"about_ca_system_score_gemma":0.0002182908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001887071,"about_ca_topic_score_gemma":0.002146492,"domain_scores_codex":[0.9997209,0.00008970177,0.00003663645,0.00006090596,0.00005997348,0.0000319578],"domain_scores_gemma":[0.9990137,0.0001340729,0.0005380617,0.00004675468,0.00007904664,0.0001884072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005825726,0.00001878398,0.9988896,0.000009133676,0.00006790391,0.00002184991,0.00002598602,0.00001531677,0.0001811068,0.000005725523,0.00002921837,0.0006771963],"study_design_scores_gemma":[0.000005072003,0.00005023276,0.9994924,0.000005072893,0.00003467778,0.0001353956,0.00004474548,0.00009235756,0.00004092936,0.00001915081,0.00007819693,0.000001728228],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987805,0.0006738891,0.00006970948,0.00007643578,0.000005308852,0.000003633099,0.0002033127,0.000003409779,0.0001836718],"genre_scores_gemma":[0.9995222,0.0001599222,0.0000843247,0.0000275355,0.00001475713,0.000005339105,0.0001248138,6.447905e-7,0.00006054758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001887071,"threshold_uncertainty_score":0.004040778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0286567411453772,"score_gpt":0.3171821200114587,"score_spread":0.2885253788660815,"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."}}