{"id":"W2883998785","doi":"10.1002/jbmr.3556","title":"Measures of Physical Performance and Muscle Strength as Predictors of Fracture Risk Independent of FRAX, Falls, and aBMD: A Meta-Analysis of the Osteoporotic Fractures in Men (MrOS) Study","year":2018,"lang":"en","type":"review","venue":"Journal of Bone and Mineral Research","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"National Center for Advancing Translational Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute on Aging; Medical Research Council; Vetenskapsrådet; National Institutes of Health; Versus Arthritis; Novo Nordisk Fonden; National Institute for Health and Care Research","keywords":"Medicine; FRAX; Femoral neck; Hip fracture; Osteoporosis; Hazard ratio; Grip strength; Poisson regression; Physical therapy; Internal medicine; Bone mineral; Osteoporotic fracture; Confidence interval; Population","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":[0.006656035,0.0002581157,0.003541675,0.0009322565,0.0001425301,0.00000961192,0.0002732042,0.000320882,0.00002256344],"category_scores_gemma":[0.0007620947,0.0001330373,0.0007468592,0.0007850345,0.0003223647,0.0001436348,0.0002832423,0.00195758,2.28157e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004381324,"about_ca_system_score_gemma":0.0004923819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001200933,"about_ca_topic_score_gemma":0.001013853,"domain_scores_codex":[0.9933079,0.002712412,0.001887025,0.0002664798,0.001524676,0.0003015009],"domain_scores_gemma":[0.9946896,0.001167086,0.002806596,0.0003798733,0.0008246866,0.0001321852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001969913,0.01268729,0.409226,0.06493562,0.1844784,0.00004431371,0.06909933,0.00003841473,0.001587748,0.00005563916,0.004613375,0.2512639],"study_design_scores_gemma":[0.001972724,0.002627189,0.9151006,0.003974911,0.06170053,0.000007183025,0.00525801,0.000078092,0.00001077728,0.0001188972,0.008957757,0.0001933436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6295956,0.3695036,6.583163e-7,0.00001822633,0.00002629844,0.0007095598,0.00007289351,6.786877e-7,0.00007246986],"genre_scores_gemma":[0.581303,0.418456,0.0000141509,0.000003658777,0.00007049875,0.00001519366,0.00000401367,0.00001075494,0.0001226854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5058746,"threshold_uncertainty_score":0.850482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1284975144638671,"score_gpt":0.4618450806363932,"score_spread":0.3333475661725261,"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."}}