{"id":"W1993490449","doi":"10.1007/s00223-015-9980-x","title":"Adjusting Fracture Probability by Trabecular Bone Score","year":2015,"lang":"en","type":"article","venue":"Calcified Tissue International","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":186,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Medical Research Council","keywords":"FRAX; Medicine; Hip fracture; Trabecular bone score; Poisson regression; Osteoporosis; Cohort; Cohort study; Internal medicine; Osteoporotic fracture; Dentistry; Bone density; Bone mineral; Population; Quantitative computed tomography","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":[0.007778762,0.001981117,0.002051619,0.001253401,0.001044526,0.001889896,0.006036319,0.002179223,0.008049916],"category_scores_gemma":[0.02075303,0.001291483,0.009054746,0.003057388,0.0006993962,0.001411917,0.00125786,0.003073782,0.001313562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001380106,"about_ca_system_score_gemma":0.003636757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06925598,"about_ca_topic_score_gemma":0.05803205,"domain_scores_codex":[0.9890817,0.004126955,0.001033881,0.002970659,0.001000082,0.001786624],"domain_scores_gemma":[0.9924465,0.002898127,0.000879783,0.002663429,0.0006526489,0.0004596258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007651769,0.0002986798,0.9007657,0.0003254076,0.02325457,0.0008948999,0.0003025606,0.007609069,0.00343023,0.001985851,0.01023604,0.04324512],"study_design_scores_gemma":[0.001188942,0.002350016,0.8651699,0.0001495604,0.0234748,0.002711425,0.0005792116,0.06185337,0.007900072,0.008741452,0.02564528,0.0002359861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8816402,0.006210565,0.07912414,0.004019778,0.002648027,0.0003515782,0.01346984,0.001988134,0.01054782],"genre_scores_gemma":[0.9796023,0.0003066816,0.009324312,0.0006602337,0.0002257885,0.0000904637,0.002305173,0.0002844327,0.007200615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06925598,"threshold_uncertainty_score":0.1377057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0824878764547379,"score_gpt":0.3784642794640474,"score_spread":0.2959764030093095,"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."}}