{"id":"W2104414594","doi":"10.1177/0954411911401487","title":"Computation of bone remodelling after Duracon knee arthroplasty using a thermodynamic-based model","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Bone remodeling; Condyle; Bone resorption; Biomechanics; Resorption; Biomedical engineering; Bone mineral; Strain energy density function; Femur; Materials science; Finite element method; Anatomy; Physics; Osteoporosis; Thermodynamics; Medicine; Surgery; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002721917,0.0004217339,0.0005273213,0.0004605183,0.0003815008,0.0007765057,0.0007887848,0.0009096456,0.001275103],"category_scores_gemma":[0.0008895209,0.0004561515,0.0006848159,0.0003074146,0.0004682357,0.0004198314,0.0005052037,0.0003139318,0.000223667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008702899,"about_ca_system_score_gemma":0.0009521554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01323939,"about_ca_topic_score_gemma":0.009453706,"domain_scores_codex":[0.9999171,0.00001945717,0.000005564747,0.00001678946,0.0000265167,0.00001448653],"domain_scores_gemma":[0.9998158,0.00009445629,0.00002645067,0.00001265074,0.00003033718,0.00002034758],"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":[0.00001586415,0.00001485254,0.0005767894,0.00001212336,0.00000543966,0.00006313105,0.00001257751,0.9950682,0.001576068,0.001056774,0.00003389147,0.001564319],"study_design_scores_gemma":[0.000002177768,0.000005653692,0.0001733287,0.000001099276,0.000002205937,0.00001309447,0.000003176359,0.9993029,0.0001830721,0.0002390516,0.00007220299,0.000002107539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5461162,0.0007334687,0.4358653,0.0003607027,0.00007907834,0.0001124554,0.0003719348,0.0005787357,0.0157821],"genre_scores_gemma":[0.9818094,0.0002272505,0.01509631,0.00002862595,0.00001034287,0.00008051864,0.0001031139,0.00005169214,0.002592851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01323939,"threshold_uncertainty_score":0.02632463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02784168491849173,"score_gpt":0.2445865074544622,"score_spread":0.2167448225359705,"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."}}