{"id":"W4411962717","doi":"10.1016/j.ostima.2025.100322","title":"FINITE ELEMENT MODELING OF IN VIVO HUMAN KNEE BONES USING HR-PQCT: EFFECTS OF BOUNDARY CONDITIONS AND MODEL CONFIGURATION ON PREDICTED STRAIN ENERGY DENSITY","year":2025,"lang":"en","type":"article","venue":"Osteoarthritis Imaging","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary","funders":"","keywords":"Finite element method; In vivo; Strain (injury); Strain energy; Boundary (topology); Materials science; Boundary value problem; Mechanics; Structural engineering; Physics; Medicine; Mathematics; Anatomy; Mathematical analysis; Engineering; Biology","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":[0.00009357397,0.000145444,0.0002616884,0.0002575071,0.0001106623,0.00003493297,0.00004471639,0.00005262234,0.000005178449],"category_scores_gemma":[0.00003519023,0.0001873104,0.00003222188,0.0001079854,0.00006127638,0.0001872626,0.00003328728,0.0000970482,7.793309e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004732259,"about_ca_system_score_gemma":0.00003389647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001641378,"about_ca_topic_score_gemma":0.0001750749,"domain_scores_codex":[0.9990936,0.0000341838,0.0004044687,0.0001677751,0.0001130073,0.0001869548],"domain_scores_gemma":[0.9996589,0.00007784984,0.00005213198,0.0001171772,0.000062657,0.00003130544],"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":[0.000009740642,0.00001544349,0.0001114565,0.0002369186,0.00000834009,0.000004307331,0.0001518606,0.5763517,0.4193602,0.002781849,0.000001968812,0.0009662104],"study_design_scores_gemma":[0.000944641,0.00004104368,0.00007771041,0.00144697,0.00002745853,0.000001960044,0.00006036595,0.875411,0.1182733,0.00359902,0.000001681433,0.0001148964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7264442,0.0002287679,0.2725429,0.000008522244,0.0001274496,0.0001384388,0.00008660724,0.00004895831,0.0003741283],"genre_scores_gemma":[0.9989184,0.00003554685,0.0009216485,0.00002892484,0.00001829273,0.00001638442,0.00003727336,0.00001776903,0.000005827845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3010869,"threshold_uncertainty_score":0.7638298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006887584020269571,"score_gpt":0.2214210208390368,"score_spread":0.2145334368187673,"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."}}