{"id":"W2890382603","doi":"10.1016/j.bone.2018.09.009","title":"The relationship between estimated bone strength by finite element analysis at the peripheral skeleton to areal BMD and trabecular bone score at lumbar spine","year":2018,"lang":"en","type":"article","venue":"Bone","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Quantitative computed tomography; Bone mineral; Trabecular bone score; Peripheral; Medicine; Tibia; Skeleton (computer programming); Osteoporosis; Bone density; Dual energy; Lumbar vertebrae; Lumbar spine; Orthodontics; Nuclear medicine; Lumbar; Internal medicine; Anatomy; Surgery","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":[0.001249421,0.0002653165,0.0005523243,0.0001665542,0.001283541,0.00007267282,0.0001300613,0.0001494055,0.0003896892],"category_scores_gemma":[0.0007620585,0.0001653455,0.0001526644,0.001056957,0.0003847321,0.00005517758,0.0002195197,0.0003774365,0.0001191005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003549788,"about_ca_system_score_gemma":0.0001286905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005526447,"about_ca_topic_score_gemma":0.004249766,"domain_scores_codex":[0.9970759,0.0002040505,0.0006084842,0.0005097276,0.0008204774,0.0007814319],"domain_scores_gemma":[0.9978368,0.0003772352,0.0001617491,0.0007701038,0.0002080462,0.0006460227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007804145,0.0001603157,0.9264106,0.0001425878,0.0004687983,0.00004719206,0.0007899299,0.00002041827,0.004920562,0.0001060573,0.04620586,0.01994732],"study_design_scores_gemma":[0.001849645,0.001052286,0.9608086,0.0000796847,0.0005706361,0.00002056844,0.0001152543,0.001512316,0.001031335,0.00002623012,0.03273297,0.0002004436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976054,0.003854196,0.0002185826,0.01827735,0.00004385046,0.001038452,0.0001255699,0.00005198403,0.000336086],"genre_scores_gemma":[0.9853022,0.0002971965,0.0004386099,0.0007721687,0.0002523992,0.0001092444,0.0005756306,0.0000384722,0.01221409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03439808,"threshold_uncertainty_score":0.9872087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0493437376851588,"score_gpt":0.3525908217823593,"score_spread":0.3032470840972005,"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."}}