{"id":"W2904337516","doi":"10.1016/j.kint.2018.09.022","title":"The Fracture Risk Assessment Tool (FRAX®) predicts fracture risk in patients with chronic kidney disease","year":2018,"lang":"en","type":"article","venue":"Kidney International","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; Seven Oaks General Hospital","funders":"University of Manitoba","keywords":"FRAX; Medicine; Kidney disease; Hip fracture; Internal medicine; Osteoporosis; Renal function; Hazard ratio; Population; Bone density; Urology; Confidence interval; Bone mineral; Osteoporotic fracture","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":[0.0008054256,0.0006006099,0.0009638008,0.00154914,0.0004822307,0.0009841134,0.000570497,0.001311169,0.002337721],"category_scores_gemma":[0.005580563,0.0003179174,0.001123067,0.001733022,0.000221179,0.0006862074,0.0006898061,0.00122361,0.0003873747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003353003,"about_ca_system_score_gemma":0.0005530814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005142255,"about_ca_topic_score_gemma":0.009262521,"domain_scores_codex":[0.9992821,0.0001653206,0.000126376,0.00009772102,0.0002164356,0.0001121215],"domain_scores_gemma":[0.9984901,0.0004932688,0.0005538241,0.00004985814,0.0002062428,0.0002065879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002303394,0.00006923724,0.9939947,0.00002818015,0.0001218202,0.00004714439,0.00002077472,0.00008080887,0.00006682738,0.00002773157,0.0004805939,0.00483188],"study_design_scores_gemma":[0.00004262329,0.0001488399,0.9976289,0.00004138525,0.0001858122,0.0004563034,0.00007371074,0.0007899957,0.00005295416,0.0001269138,0.0004401018,0.00001247196],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906786,0.003474923,0.0003534966,0.0006101364,0.00008615277,0.00004190011,0.001651761,0.00002756322,0.003075241],"genre_scores_gemma":[0.996657,0.0006664747,0.0006942283,0.0001823334,0.00007530626,0.00002746125,0.001166337,0.000004394274,0.0005264599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005142255,"threshold_uncertainty_score":0.01022464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00624103873682555,"score_gpt":0.3041069554995364,"score_spread":0.2978659167627108,"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."}}