{"id":"W4298125903","doi":"10.1097/md.0000000000030735","title":"Correlation of muscle mass and bone mineral density in the NHANES US general population, 2017–2018","year":2022,"lang":"en","type":"article","venue":"Medicine","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Continental (Canada)","funders":"","keywords":"Medicine; Bone mineral; Sarcopenia; Univariate analysis; Lumbar; Osteoporosis; Dual-energy X-ray absorptiometry; Lumbar spine; Internal medicine; Body mass index; Urology; Surgery; Multivariate analysis","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":[0.0007145302,0.00006393262,0.0002140842,0.0001450975,0.0001156607,0.00000171937,0.00003576118,0.00002648446,0.0002053456],"category_scores_gemma":[0.00007906801,0.00004544654,0.00001657878,0.0002194757,0.00006490499,0.00002719807,0.00001898732,0.0001937904,0.000001140685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004823142,"about_ca_system_score_gemma":0.00001748845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008131421,"about_ca_topic_score_gemma":0.0001033352,"domain_scores_codex":[0.9990476,0.0001042225,0.000292553,0.0001210462,0.0003173859,0.0001172342],"domain_scores_gemma":[0.9996172,0.00005972646,0.00009407409,0.0001412665,0.00003884045,0.00004894508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002119108,0.0001408266,0.9583041,0.000240127,0.000008152055,0.0001074442,0.00286654,0.00007999028,0.009772548,0.001141137,0.02485295,0.002274293],"study_design_scores_gemma":[0.002298067,0.0002747051,0.9833999,0.00006654327,0.00003177138,0.0002199391,0.00062336,0.003627179,0.00001741775,0.00059846,0.008798154,0.00004456252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799698,0.0007557145,0.0001201833,0.01803395,0.0003047633,0.0002752399,0.000004336548,0.00001284259,0.0005231554],"genre_scores_gemma":[0.9955343,0.00006813553,0.0003915039,0.003200453,0.0002855835,0.00001634587,0.000107845,0.00000601615,0.0003898434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02509576,"threshold_uncertainty_score":0.224839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03843854723784342,"score_gpt":0.319607985884615,"score_spread":0.2811694386467716,"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."}}