{"id":"W4253426017","doi":"10.22215/etd/2014-10094","title":"Cartilage Simulation Using Smoothed Particle Hydrodynamics","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Smoothed-particle hydrodynamics; Finite element method; Cartilage; Articular cartilage; Representation (politics); Indentation; Compression (physics); Stress (linguistics); Osteoarthritis; Computer science; Mechanics; Biomedical engineering; Materials science; Engineering; Structural engineering; Physics; Medicine; Anatomy; Composite material","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":[0.0002602204,0.0003728228,0.0004663875,0.0005086971,0.0003217235,0.0006021452,0.0006975952,0.000973687,0.002217548],"category_scores_gemma":[0.0009642692,0.0002826036,0.0006649006,0.00041823,0.0004754553,0.0003584305,0.0005819688,0.0004130355,0.0004260017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004745773,"about_ca_system_score_gemma":0.001143162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006896434,"about_ca_topic_score_gemma":0.002933491,"domain_scores_codex":[0.9998691,0.00002704139,0.000007652947,0.00001495685,0.0000624047,0.00001881569],"domain_scores_gemma":[0.9995977,0.0001948557,0.00003357992,0.00004462026,0.00009592238,0.00003327024],"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":[0.00003017677,0.00002444,0.0006621641,0.00003564385,0.00001570873,0.00006985025,0.00005042172,0.9839237,0.00443392,0.005664795,0.0003621187,0.004726985],"study_design_scores_gemma":[0.000007245165,0.000008924964,0.00008478098,0.00000181773,0.000001509041,0.000007583561,0.000004310665,0.998429,0.0005329213,0.0004907559,0.0004282802,0.000002855462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2438579,0.0004971654,0.7294382,0.0004477453,0.0002819379,0.0002476406,0.0006943636,0.001579842,0.02295516],"genre_scores_gemma":[0.8282914,0.0004682624,0.1589212,0.00009954729,0.00006573904,0.0003714722,0.000618085,0.0002154768,0.01094887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006896434,"threshold_uncertainty_score":0.01371258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135961043123372,"score_gpt":0.2656151332245906,"score_spread":0.2542555227933569,"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."}}