{"id":"W2332094575","doi":"10.1007/s00223-016-0134-6","title":"How Good is Our Best Guess? Clinical Application of the WHO FRAX Tool in Osteoporotic Fracture Risk Determination and Treatment Decisions","year":2016,"lang":"en","type":"article","venue":"Calcified Tissue International","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Alberta Health Services","funders":"","keywords":"FRAX; Medicine; Osteoporosis; Hip fracture; Osteoporotic fracture; Risk assessment; Risk management tools; Physical therapy; Internal medicine; Bone mineral","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":[0.03931417,0.001017904,0.003994342,0.003745515,0.00153782,0.00835139,0.002680775,0.0055597,0.006291005],"category_scores_gemma":[0.1776126,0.0007554053,0.001840868,0.0028726,0.003322698,0.01004285,0.002135124,0.00658023,0.00411098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650731,"about_ca_system_score_gemma":0.00347936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006296752,"about_ca_topic_score_gemma":0.01096793,"domain_scores_codex":[0.978671,0.01178381,0.003137165,0.001298104,0.004464179,0.0006457903],"domain_scores_gemma":[0.9314663,0.0418586,0.005195369,0.002118667,0.01684096,0.002520153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001993426,0.0008088218,0.2589636,0.001490644,0.001669781,0.001493763,0.003530121,0.003298418,0.0008432917,0.009466936,0.1080924,0.6083487],"study_design_scores_gemma":[0.001500515,0.005045704,0.2877989,0.02689279,0.005372184,0.0176799,0.03466647,0.05623174,0.00410966,0.2524925,0.3061471,0.002062558],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1339141,0.109411,0.04561171,0.6529865,0.008223775,0.0003602814,0.001699211,0.000640249,0.04715322],"genre_scores_gemma":[0.8125824,0.03983776,0.08817112,0.04544767,0.008068748,0.0002524059,0.0008092078,0.000378134,0.004452609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03931417,"threshold_uncertainty_score":0.2079157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05137414110250563,"score_gpt":0.4112304797334806,"score_spread":0.359856338630975,"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."}}