{"id":"W3106143227","doi":"10.1016/j.gerinurse.2020.10.020","title":"Balance and functional mobility predict low bone mineral density among postmenopausal women undergoing recent menopause with osteoporosis, osteopenia, and normal bone mineral density: A cross-sectional study","year":2020,"lang":"en","type":"article","venue":"Geriatric Nursing","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Shiraz University of Medical Sciences","keywords":"Osteopenia; Medicine; Bone mineral; Osteoporosis; Menopause; Bone density; Odds ratio; Physical therapy; Body mass index; Logistic regression; Balance (ability); Hip fracture; Internal medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001071576,0.0004869213,0.0008777963,0.0002307684,0.0007314301,0.0002619696,0.00008511544,0.0002241675,0.0001295045],"category_scores_gemma":[0.0003195029,0.0004398559,0.00004929985,0.000785003,0.0004963665,0.000510909,0.0001802183,0.0007929937,0.000008698806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006830049,"about_ca_system_score_gemma":0.0007458177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002658338,"about_ca_topic_score_gemma":0.0002265235,"domain_scores_codex":[0.9953164,0.0002572832,0.0008579406,0.001228116,0.001211768,0.001128429],"domain_scores_gemma":[0.9972518,0.0002160723,0.000278003,0.000378552,0.0004885704,0.001387018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01234186,0.001077253,0.9711952,0.000493406,0.0001197398,0.0003363643,0.002866149,0.00003008261,0.008242203,0.000004293726,0.0004301787,0.002863306],"study_design_scores_gemma":[0.0106743,0.00695398,0.9781364,0.000101817,0.0001516049,0.001158482,0.001515343,0.0006292567,0.0002231541,0.00001899865,0.00004265282,0.0003939798],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948702,0.001069872,0.00005349296,0.001215243,0.0003326344,0.002155582,0.00004428385,0.0001452607,0.0001134169],"genre_scores_gemma":[0.9972437,0.0001559703,0.000763369,0.0005708781,0.0007389389,0.0001068918,0.0001210368,0.00006243611,0.0002367699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008019049,"threshold_uncertainty_score":0.9998053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577991765916774,"score_gpt":0.2752917015297565,"score_spread":0.2595117838705887,"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."}}