{"id":"W2902732098","doi":"10.1016/j.jocd.2018.05.034","title":"THE UTILITY OF TBS-ADJUSTED BMD T-SCORE IN THE DISCRIMINATION OF THE MAJOR OSTEOPOROTIC FRACTURES IN THE POSTMENOPAUSAL WOMEN OF THE ROTTERDAM AND THE OSTEOLAUS STUDIES","year":2018,"lang":"en","type":"article","venue":"Journal of Clinical Densitometry","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Medicine; FRAX; Bone mineral; Trabecular bone score; Osteoporosis; Femoral neck; Standard score; Framingham Risk Score; Postmenopausal women; Internal medicine; Osteoporotic fracture; Dentistry; Quantitative computed tomography; Statistics; Mathematics; Disease","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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.01865614,0.0001903289,0.000976574,0.0001617117,0.0002743458,0.00002997774,0.0009481413,0.0001845102,0.00001890909],"category_scores_gemma":[0.0168324,0.00005414005,0.0002945108,0.001124092,0.002894765,0.00009159565,0.0003036978,0.001723435,8.499483e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005606355,"about_ca_system_score_gemma":0.0003914573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001462892,"about_ca_topic_score_gemma":0.0007759934,"domain_scores_codex":[0.9920281,0.003323485,0.00241364,0.0001919536,0.001653329,0.0003894694],"domain_scores_gemma":[0.9843044,0.01189823,0.00175959,0.000933618,0.001004837,0.00009927149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0138982,0.001213395,0.9240742,0.0008451506,0.0004816408,0.00003411636,0.02750666,0.000001811042,0.001008102,0.0002342009,0.003451058,0.02725147],"study_design_scores_gemma":[0.004087056,0.001606105,0.9685597,0.0004694704,0.0001958349,0.0001219911,0.02259454,0.00006229552,0.0007710029,0.001296628,0.0001850767,0.00005031498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649268,0.003374438,0.000001354991,0.02965192,0.0005616719,0.001223627,0.000009084387,0.000001587149,0.0002494714],"genre_scores_gemma":[0.9963606,0.0007609564,0.00002212614,0.002392044,0.0003859239,0.00001495096,5.592626e-7,0.00001198837,0.00005085396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04448547,"threshold_uncertainty_score":0.9998188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09083539127215555,"score_gpt":0.4572976931811337,"score_spread":0.3664623019089781,"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."}}