{"id":"W7097009319","doi":"","title":"Independent clinical validation of a Canadian FRAX tool: fracture prediction and model","year":2010,"lang":"en","type":"article","venue":"","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"FRAX; Hip fracture; Femoral neck; Confidence interval; Bone mineral; Cohort; Osteoporosis; Receiver operating characteristic","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01841038,0.001710686,0.001120534,0.002971975,0.001888073,0.001898138,0.00332603,0.001015731,0.00269802],"category_scores_gemma":[0.05981065,0.0005735556,0.001506717,0.002776167,0.0008124909,0.0006607799,0.002175535,0.001438154,0.0009222179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01067668,"about_ca_system_score_gemma":0.02920184,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8224648,"about_ca_topic_score_gemma":0.7565559,"domain_scores_codex":[0.9938228,0.001988085,0.0003401222,0.001149909,0.002261792,0.0004373166],"domain_scores_gemma":[0.9764547,0.007760268,0.001525532,0.001569904,0.01175104,0.0009384527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002930444,0.0004849276,0.6697074,0.0004549278,0.001711963,0.0002962147,0.0008248715,0.1734723,0.0009222999,0.004827458,0.03641705,0.1079502],"study_design_scores_gemma":[0.0008404935,0.0004352026,0.2172728,0.0002389492,0.0005225261,0.0003310551,0.0003448577,0.7621227,0.001118357,0.002796881,0.01379276,0.0001834526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7786986,0.002012567,0.1585819,0.002018641,0.0003384695,0.002266888,0.04128784,0.003154868,0.01164017],"genre_scores_gemma":[0.9245124,0.0003264955,0.05613216,0.0002565551,0.0000337898,0.0007686256,0.01557341,0.0002344383,0.002162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1775352,"threshold_uncertainty_score":0.3571614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04834905267627276,"score_gpt":0.3722055737655127,"score_spread":0.32385652108924,"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."}}