{"id":"W1979347479","doi":"10.1002/jbmr.123","title":"Independent clinical validation of a Canadian FRAX tool: Fracture prediction and model calibration","year":2010,"lang":"en","type":"article","venue":"Journal of Bone and Mineral Research","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":280,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Manitoba","funders":"Amgen Canada","keywords":"FRAX; Medicine; Femoral neck; Hip fracture; Confidence interval; Bone mineral; Receiver operating characteristic; Bone density; Cohort; Osteoporosis; Demography; Dentistry; Internal medicine; Physical therapy; Osteoporotic fracture","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.02984504,0.001602328,0.000991537,0.002757152,0.001699073,0.001766863,0.002796614,0.001112737,0.001933158],"category_scores_gemma":[0.09463653,0.0005319022,0.001423569,0.002561152,0.0009014086,0.0007303106,0.002361229,0.0012776,0.00067943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007707731,"about_ca_system_score_gemma":0.02296074,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6831664,"about_ca_topic_score_gemma":0.6556075,"domain_scores_codex":[0.9888377,0.003605929,0.0006483709,0.001726094,0.00464888,0.0005330824],"domain_scores_gemma":[0.9649386,0.01056716,0.002285695,0.002922523,0.01832331,0.0009627325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002935953,0.000445027,0.7410663,0.0004922666,0.0020677,0.0002743675,0.001407936,0.0895519,0.002200146,0.003701783,0.02308627,0.1327705],"study_design_scores_gemma":[0.0009464346,0.0006570692,0.5176762,0.0002997621,0.0007747485,0.0005282084,0.0005468931,0.4526646,0.003066834,0.002682552,0.01992729,0.0002293312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7943863,0.001843871,0.1673252,0.001130033,0.0002408418,0.001842983,0.02033953,0.002608194,0.0102831],"genre_scores_gemma":[0.9322062,0.0003121714,0.05560596,0.0002487422,0.00002466456,0.0006593467,0.009052872,0.0002658146,0.001624196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3168336,"threshold_uncertainty_score":0.637399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09497797291338958,"score_gpt":0.4240445188152696,"score_spread":0.32906654590188,"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."}}