{"id":"W1949056754","doi":"10.1093/ageing/afv108.02","title":"45FRACTURE RISK PREDICTION AND TREATMENT THRESHOLDS USING FRAX, GARVAN AND QFRACTURE IN AN OSTEOPOROSIS CLINIC POPULATION","year":2015,"lang":"en","type":"article","venue":"Age and Ageing","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"FRAX; Medicine; Osteoporosis; Internal medicine; Osteoporotic fracture; 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":[0.002584974,0.0003262292,0.0004954866,0.0009147327,0.000304828,0.0006766585,0.0004236773,0.0006452503,0.001228677],"category_scores_gemma":[0.01200447,0.0002633824,0.0004514341,0.0008153364,0.0003103092,0.0004481861,0.0004709047,0.0005402466,0.0002931165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006088107,"about_ca_system_score_gemma":0.0003485011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006865049,"about_ca_topic_score_gemma":0.00576202,"domain_scores_codex":[0.9975435,0.001054975,0.0001857035,0.0003869704,0.0007008691,0.0001278389],"domain_scores_gemma":[0.9941534,0.003122847,0.001756106,0.0002094061,0.0004951705,0.0002630174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003695768,0.00007980239,0.995881,0.00001194461,0.00005382215,0.00003750711,0.00008206951,0.0001189547,0.00009064986,0.00001215701,0.00008458776,0.003177902],"study_design_scores_gemma":[0.00005613482,0.001059934,0.9961887,0.00001324151,0.0000786423,0.0004833988,0.0002291864,0.001488889,0.0001429259,0.00008112437,0.0001664974,0.00001136839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989306,0.0002610872,0.0001843909,0.00005093219,0.000003983075,0.00001501094,0.0001141702,0.000008276762,0.0004315122],"genre_scores_gemma":[0.9993489,0.00005927714,0.0003438169,0.00002963782,0.000005868817,0.0000143507,0.0001306275,0.000001593451,0.00006589638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006865049,"threshold_uncertainty_score":0.01367086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06838913683988881,"score_gpt":0.3681435979964716,"score_spread":0.2997544611565828,"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."}}