{"id":"W2001547704","doi":"10.1016/j.bone.2010.04.594","title":"Denosumab improves density and strength parameters as measured by QCT of the radius in postmenopausal women with low bone mineral density","year":2010,"lang":"en","type":"article","venue":"Bone","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":89,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; University of Calgary","funders":"Amgen","keywords":"Bone mineral; Quantitative computed tomography; Cortical bone; Denosumab; Medicine; Bone density; Nuclear medicine; Osteoporosis; Urology; Anatomy; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006097715,0.0001851803,0.0004870121,0.00009625066,0.00009113312,0.00001872225,0.00008644383,0.0001516886,0.00002072693],"category_scores_gemma":[0.0004001564,0.0001200942,0.0000295029,0.0002526789,0.0003417021,0.0000661998,0.00007675117,0.0006363452,0.000004731268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009235847,"about_ca_system_score_gemma":0.0003843382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00189917,"about_ca_topic_score_gemma":0.002523131,"domain_scores_codex":[0.998192,0.0001020614,0.0002929843,0.0003252743,0.0005460999,0.0005416568],"domain_scores_gemma":[0.9987866,0.0001081985,0.0001199951,0.0004546906,0.0001465418,0.0003840223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003743516,0.0004711903,0.1315793,0.0002219648,0.00004249264,0.00009335357,0.000660265,1.925138e-7,0.8530927,0.0000217484,0.0008460906,0.009227227],"study_design_scores_gemma":[0.006194783,0.002126747,0.9060597,0.00009324092,0.00004607772,0.0004931616,0.0003127028,0.00007401592,0.08405534,0.00006807392,0.0002727121,0.0002033739],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997547,0.0003073984,0.000001215174,0.001217166,0.00007609392,0.0007139115,0.00001583772,0.00001720993,0.0001041515],"genre_scores_gemma":[0.9983868,0.00003774215,0.0005147572,0.0004549105,0.0000296876,0.00002815844,0.000009849711,0.00002256127,0.0005155397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7744805,"threshold_uncertainty_score":0.4897298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007984109781876005,"score_gpt":0.2525414946605319,"score_spread":0.2445573848786559,"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."}}