{"id":"W3006615751","doi":"10.1007/s00198-020-05335-x","title":"Targeted bone density testing for optimizing fracture prevention in Canada","year":2020,"lang":"en","type":"article","venue":"Osteoporosis International","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Manitoba","funders":"","keywords":"FRAX; Medicine; Interquartile range; Osteoporosis; Bone mineral; Internal medicine; Bone density; Physical therapy; Population; Osteoporotic fracture","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008472359,0.0003132495,0.0004666685,0.001491568,0.002405182,0.00145008,0.001223656,0.000895643,0.009630004],"category_scores_gemma":[0.004426331,0.0002944952,0.0005218394,0.002574435,0.0005546205,0.0004202408,0.0007292079,0.00167934,0.0004020049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04158011,"about_ca_system_score_gemma":0.1656549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941368,"about_ca_topic_score_gemma":0.9975401,"domain_scores_codex":[0.9987811,0.0001218977,0.00006430773,0.00007979807,0.0005754103,0.0003774063],"domain_scores_gemma":[0.996987,0.0002301951,0.0001534821,0.00003216065,0.001586464,0.001010816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006835175,0.0009696697,0.2781722,0.0008905236,0.0002176676,0.0008395783,0.0008601402,0.002506013,0.001150001,0.009035942,0.2642895,0.4403853],"study_design_scores_gemma":[0.001107146,0.0005963824,0.7822504,0.002873074,0.0008204886,0.001265235,0.003527217,0.009658115,0.001711758,0.005334239,0.1907073,0.0001484624],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3550726,0.07945174,0.006789361,0.2774485,0.00281978,0.001515936,0.02345861,0.0008589213,0.2525846],"genre_scores_gemma":[0.9168498,0.02866214,0.008934449,0.02028366,0.000380482,0.0002322369,0.002650664,0.0001169246,0.02188963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04158011,"threshold_uncertainty_score":0.3016862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04245676479506866,"score_gpt":0.3171491163271076,"score_spread":0.2746923515320389,"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."}}