{"id":"W2104896176","doi":"10.4236/health.2015.75067","title":"Bone Mineral Density Reporting Underestimates Fracture Risk in Ontario","year":2015,"lang":"en","type":"article","venue":"Health","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; Osteoporosis Canada; University Health Network; University of Calgary; St. Michael's Hospital","funders":"Institute of Musculoskeletal Health and Arthritis; Canadian Institutes of Health Research; U.S. Public Health Service","keywords":"Medicine; Fragility fracture; Bone mineral; Risk assessment; Fragility; Fracture (geology); Physical therapy; Femoral neck; Osteoporosis; Family medicine; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002548528,0.0001230668,0.0005024138,0.0001339047,0.000107178,0.00001511598,0.00003821728,0.0001207972,0.00006767172],"category_scores_gemma":[0.00167397,0.0001021291,0.00004584652,0.0001852558,0.00003756865,0.00005888519,0.00003760436,0.001010114,0.00004860207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001177093,"about_ca_system_score_gemma":0.005024708,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5445866,"about_ca_topic_score_gemma":0.6596466,"domain_scores_codex":[0.9975587,0.0001237353,0.0009371038,0.0002921765,0.0004401335,0.0006481825],"domain_scores_gemma":[0.9979286,0.00006766478,0.0005727374,0.0003214944,0.0001418812,0.0009675937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000264023,0.0001284471,0.9779503,0.0001591921,0.000004107624,0.0002581184,0.001452008,0.00002075298,0.00001527571,0.00001325337,0.01759806,0.002136415],"study_design_scores_gemma":[0.00165529,0.0004614199,0.9856728,0.0001355139,0.000005656783,0.0003844445,0.0002739721,0.0003284342,0.00003137904,0.0003120748,0.01065577,0.00008328191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837879,0.000826419,0.0000581633,0.01347011,0.0001155984,0.0005200586,0.000001725303,0.00005458677,0.001165473],"genre_scores_gemma":[0.989764,0.00006323316,0.003623954,0.005256466,0.00009775187,0.00001181038,0.00004717106,0.00001778501,0.001117861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.11506,"threshold_uncertainty_score":0.8913616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1117891523345784,"score_gpt":0.401102639566033,"score_spread":0.2893134872314547,"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."}}