{"id":"W3214322658","doi":"10.32920/ryerson.14648076.v1","title":"Finite element analysis of knee articular cartilage","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hyperelastic material; Finite element method; Cartilage; Knee Joint; Osteoarthritis; Articular cartilage; Structural engineering; Ogden; Materials science; Deflection (physics); Experimental data; Biomedical engineering; Mathematics; Anatomy; Engineering; Composite material; Medicine; Physics; Surgery","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":[0.0005139942,0.000462986,0.000552575,0.0007495579,0.0002394893,0.0005906555,0.0007597922,0.0009235999,0.002740753],"category_scores_gemma":[0.0008781282,0.0003537002,0.0007410881,0.0003509759,0.000347854,0.0003238919,0.0003831992,0.0003928943,0.00105899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003304613,"about_ca_system_score_gemma":0.0006079852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002075027,"about_ca_topic_score_gemma":0.001634617,"domain_scores_codex":[0.9997562,0.00004732576,0.0000226012,0.00003020264,0.000122255,0.00002140849],"domain_scores_gemma":[0.9996644,0.0001609156,0.00002904648,0.00002961019,0.0001035088,0.0000123719],"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":[0.00005002556,0.00007052272,0.001372585,0.0003403562,0.00004717478,0.0001452733,0.000232406,0.8646579,0.08226029,0.004600131,0.0006120988,0.0456113],"study_design_scores_gemma":[0.000005278119,0.00004306012,0.0007120954,0.00003302757,0.000008438207,0.0000809493,0.00004111358,0.988799,0.006453962,0.001032062,0.002776332,0.0000145642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0670855,0.0005420587,0.925159,0.0001135597,0.00005977936,0.0001282715,0.0003806354,0.0006216179,0.005909621],"genre_scores_gemma":[0.6708534,0.0008522028,0.3139421,0.000122823,0.00003052954,0.0005662882,0.001082542,0.0002910132,0.01225906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002740753,"threshold_uncertainty_score":0.009168684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0174722282073469,"score_gpt":0.2756234541143693,"score_spread":0.2581512259070224,"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."}}