{"id":"W4381716129","doi":"10.1002/jbmr.4874","title":"Interactions Between <scp>HR‐pQCT</scp> Bone Density and <scp> D <sub>3</sub> Cr </scp> Muscle Mass (or <scp>HR‐pQCT</scp> Bone Structure and <scp>HR‐pQCT</scp> Muscle Density) in Predicting Fractures: The Osteoporotic Fractures in Men Study","year":2023,"lang":"en","type":"article","venue":"Journal of Bone and Mineral Research","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"National Institute on Aging; National Institutes of Health; National Center for Advancing Translational Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Australian Institute for Musculoskeletal Science; University of Melbourne; GlaxoSmithKline","keywords":"Medicine; Quantitative computed tomography; Tibia; Quartile; Bone mineral; Bone density; Internal medicine; Osteoporosis; Urology; Anatomy","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":[0.002000097,0.0004787954,0.0005372387,0.0003698737,0.0004036171,0.0008617506,0.0005478862,0.0006322776,0.001712926],"category_scores_gemma":[0.003218503,0.0004997677,0.001537875,0.0005075567,0.000295577,0.000349778,0.0005319955,0.001090229,0.0002094068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001897748,"about_ca_system_score_gemma":0.0004480503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006471575,"about_ca_topic_score_gemma":0.008874626,"domain_scores_codex":[0.9986632,0.0007044013,0.00008717806,0.0002407908,0.0001584092,0.0001460115],"domain_scores_gemma":[0.997189,0.001138478,0.0007682846,0.0002948417,0.0001402007,0.000469258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006410004,0.00004270378,0.9974903,0.00000810497,0.00051899,0.00005051549,0.00002509578,0.00005066322,0.0001975997,0.00001805376,0.00006794965,0.0008890901],"study_design_scores_gemma":[0.00002937979,0.0003447208,0.9979414,0.000006997966,0.0004573154,0.0001017361,0.00005375753,0.0006623166,0.0001542105,0.00004328735,0.0001994671,0.000005309129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975749,0.0009528865,0.0004841149,0.0001440145,0.0000234728,0.000006770794,0.0004530013,0.00001228254,0.0003486305],"genre_scores_gemma":[0.9991357,0.00008727797,0.0001867364,0.00003087571,0.00002387989,0.00000699431,0.000217793,0.000004040491,0.0003067688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006471575,"threshold_uncertainty_score":0.01286781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04387071835566506,"score_gpt":0.3613014266911248,"score_spread":0.3174307083354597,"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."}}