{"id":"W3120464378","doi":"10.1002/jbmr.4239","title":"Predictive Value of DXA Appendicular Lean Mass for Incident Fractures, Falls, and Mortality, Independent of Prior Falls, FRAX, and BMD: Findings from the Women's Health Initiative (WHI)","year":2020,"lang":"en","type":"article","venue":"Journal of Bone and Mineral Research","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Bone and Joint Health Institute","funders":"Medical Research Council; National Heart, Lung, and Blood Institute; Versus Arthritis; Medical Research Council Canada; National Institute for Health and Care Research; Women's Health Initiative; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Medicine; FRAX; Hip fracture; Femoral neck; Confidence interval; Hazard ratio; Osteoporosis; Bone mineral; Lean body mass; Women's Health Initiative; Internal medicine; Postmenopausal women; 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":[0.001282591,0.000253451,0.0003162819,0.0004273961,0.0002223034,0.0005658818,0.0003745613,0.0003980937,0.0008149236],"category_scores_gemma":[0.004524027,0.0002651378,0.0005522357,0.0004326146,0.0002871975,0.0001783356,0.0003711128,0.0005621652,0.0001409739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001340465,"about_ca_system_score_gemma":0.0002507666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01082491,"about_ca_topic_score_gemma":0.006913945,"domain_scores_codex":[0.9995871,0.0001707202,0.00003620505,0.000093829,0.00007529177,0.00003674989],"domain_scores_gemma":[0.9979892,0.0006878704,0.0005749568,0.0002155592,0.0002171803,0.0003151528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002404802,0.00001844127,0.9985474,0.000006024336,0.0001129163,0.00002520464,0.00002095709,0.00006617061,0.0001163598,0.00001124099,0.00005243664,0.0007823904],"study_design_scores_gemma":[0.00001632077,0.00007796013,0.9990044,0.000004552497,0.0001141263,0.00007316528,0.00003983842,0.0005195241,0.00004329723,0.00003122204,0.00007282876,0.000002619197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987072,0.000470933,0.000164094,0.00007829953,0.000009010763,0.000004817414,0.0003324242,0.000007017068,0.0002262127],"genre_scores_gemma":[0.9994996,0.0001032666,0.00008406264,0.00001827219,0.00001189386,0.000002506487,0.0001978986,0.000001611158,0.00008091978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01082491,"threshold_uncertainty_score":0.02152383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1091102473207162,"score_gpt":0.4210863239599236,"score_spread":0.3119760766392075,"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."}}