{"id":"W2089543564","doi":"10.1007/s00198-010-1465-1","title":"Fracture prediction and calibration of a Canadian FRAX® tool: a population-based report from CaMos","year":2010,"lang":"en","type":"article","venue":"Osteoporosis International","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":182,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; St. Boniface Hospital; University of British Columbia; Université Laval; Cancer Care Ontario; University of Saskatchewan; Memorial University of Newfoundland; University of Calgary; McGill University; Dalhousie University; University of Toronto; Queen's University; McMaster University","funders":"Canadian Institutes of Health Research; World Health Organization","keywords":"FRAX; Medicine; Rheumatology; Calibration; Orthopedic surgery; Internal medicine; Hip fracture; Population; Osteoporotic fracture; Osteoporosis; Physical therapy; Surgery; Statistics; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002794901,0.0009344109,0.0008047355,0.001914924,0.001817684,0.001249486,0.002094155,0.001125492,0.001247733],"category_scores_gemma":[0.009312564,0.0006504448,0.001044294,0.00373391,0.0009591915,0.0004511569,0.0007239846,0.001213705,0.000488116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006040352,"about_ca_system_score_gemma":0.006054916,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8083338,"about_ca_topic_score_gemma":0.7850937,"domain_scores_codex":[0.9964235,0.0002884888,0.0001837214,0.0004090207,0.002457274,0.0002378507],"domain_scores_gemma":[0.9954451,0.0005714198,0.0004754771,0.0002644655,0.002962105,0.0002813879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002505741,0.0001201484,0.9924659,0.00002216375,0.000110219,0.00009093212,0.0005585495,0.0001813901,0.0003206304,0.00003692615,0.0007808387,0.005061691],"study_design_scores_gemma":[0.00002428534,0.00008770562,0.9981179,0.00001125823,0.0001019053,0.000183622,0.0004306883,0.0004016879,0.0001057306,0.00001775719,0.0005023517,0.00001503436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963186,0.0002912642,0.0003494024,0.0000997424,0.0000116867,0.00005365971,0.001456437,0.00001886977,0.001400458],"genre_scores_gemma":[0.9969481,0.00026144,0.0004070793,0.00007269479,0.00000867987,0.0000361829,0.001823504,0.000014978,0.0004273953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1916662,"threshold_uncertainty_score":0.3855898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337655494253564,"score_gpt":0.2869868810967008,"score_spread":0.2736103261541652,"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."}}