{"id":"W3162342898","doi":"10.1007/s10439-021-02789-w","title":"Proximal Tibia Bone Stiffness and Strength in HR-pQCT- and QCT-Based Finite Element Models","year":2021,"lang":"en","type":"article","venue":"Annals of Biomedical Engineering","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Finite element method; Quantitative computed tomography; Stiffness; Tibia; Orthodontics; Biomedical engineering; Materials science; Structural engineering; Medicine; Anatomy; Bone density; Composite material; Engineering; Osteoporosis; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000396768,0.0003462438,0.0003733983,0.0005028973,0.0001757561,0.0007869817,0.0009950997,0.001409677,0.002659813],"category_scores_gemma":[0.001323733,0.0005759205,0.0006010446,0.0004849873,0.0004956543,0.0004499197,0.0003295342,0.0003576637,0.0006958068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003523875,"about_ca_system_score_gemma":0.0009393758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009722598,"about_ca_topic_score_gemma":0.012424,"domain_scores_codex":[0.9998239,0.00004320758,0.00001577569,0.0000348184,0.00006540073,0.00001692916],"domain_scores_gemma":[0.9996132,0.0002214872,0.00004741467,0.00003569802,0.00006833549,0.00001387274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007349729,0.00007751837,0.002800148,0.00006095836,0.00002504075,0.0000827877,0.00005830916,0.9829831,0.005331305,0.0007187902,0.0001289531,0.007659642],"study_design_scores_gemma":[0.00001071205,0.0000279946,0.00220287,0.0000132861,0.00001271564,0.00006835422,0.00002226705,0.9958448,0.001265973,0.0002701725,0.0002477458,0.00001313306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5909672,0.0004936582,0.3960992,0.0002919537,0.00004809475,0.0001555215,0.001904713,0.0008074912,0.009232149],"genre_scores_gemma":[0.9729191,0.0001904016,0.02296342,0.00005281638,0.000006568132,0.0001206915,0.0004793958,0.0000896719,0.003177825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009722598,"threshold_uncertainty_score":0.01933199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193498791469087,"score_gpt":0.2783225904723838,"score_spread":0.2563876025576929,"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."}}