{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003837056,0.0001452761,0.0002784402,0.0001336716,0.0001552137,0.00006243966,0.00001775985,0.000192228,0.00001312416],"category_scores_gemma":[0.00008786417,0.0001108254,0.00002091307,0.0001124008,0.00004346783,0.0002832758,0.00002758549,0.0002808194,9.22792e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000886139,"about_ca_system_score_gemma":0.0000497791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003512724,"about_ca_topic_score_gemma":0.001953856,"domain_scores_codex":[0.9988918,0.00009772476,0.000263615,0.0003142212,0.000184075,0.0002486188],"domain_scores_gemma":[0.9992845,0.00005790004,0.00008272549,0.0001543923,0.00003720063,0.0003833054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002323246,0.00007637054,0.8995198,0.00005947109,0.00001114325,0.0005421159,0.002684139,0.00001365366,0.000511627,0.000001353432,0.00003382482,0.09631415],"study_design_scores_gemma":[0.002439277,0.001011389,0.9911341,0.0001348729,0.00007219385,0.0000560541,0.001096017,0.002948824,0.00004393163,0.0001718443,0.0007969457,0.00009456217],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969936,0.002098774,0.00001524849,0.0002617331,0.00005360027,0.0004276032,0.00001197874,0.00002785215,0.0001095921],"genre_scores_gemma":[0.997346,0.001497603,0.0005358749,0.0002496663,0.0001828794,0.00000924065,0.000086592,0.00001722839,0.00007495864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09621958,"threshold_uncertainty_score":0.5310211,"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."}}