{"id":"W7073776871","doi":"","title":"Fracture prediction and calibration of a Canadian FRAX® tool: A population-based report from CaMos","year":2011,"lang":"en","type":"article","venue":"Research Bank (Australian Catholic University)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"FRAX; Hip fracture; Osteoporosis; Bone mineral; Hazard ratio; Fracture (geology); Calibration","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":[0.005817171,0.000692007,0.0005180982,0.001738249,0.001100319,0.0008802824,0.001690636,0.0006911772,0.0009973305],"category_scores_gemma":[0.01540546,0.0003403435,0.0006278579,0.002195573,0.0006675483,0.0003023244,0.0007695584,0.0007430922,0.0002982825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006020048,"about_ca_system_score_gemma":0.006517983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7720692,"about_ca_topic_score_gemma":0.6973472,"domain_scores_codex":[0.9946516,0.0005541829,0.0002793733,0.0005801936,0.003712508,0.0002222306],"domain_scores_gemma":[0.9901041,0.001205281,0.001181249,0.0005289007,0.006620084,0.0003603485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000155971,0.00003444832,0.9904088,0.000051198,0.0001370881,0.00004056419,0.0002792357,0.0002267531,0.0002211025,0.00004063636,0.001384059,0.007020056],"study_design_scores_gemma":[0.00002580528,0.00006649334,0.9975116,0.0000240137,0.00007979976,0.000110314,0.0001547061,0.0006889971,0.0001830431,0.00001887323,0.001119535,0.00001675801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869847,0.001226016,0.001955744,0.000266404,0.00003091984,0.0002039972,0.005955771,0.00005708127,0.003319382],"genre_scores_gemma":[0.9934411,0.0004173629,0.001280839,0.00008750922,0.00001725625,0.00009741582,0.004298204,0.0000203559,0.0003399277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2279308,"threshold_uncertainty_score":0.4585462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08597640108274335,"score_gpt":0.2893698585242124,"score_spread":0.2033934574414691,"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."}}