{"id":"W4395044799","doi":"10.1007/978-3-031-55315-8_14","title":"Generic Modeling of Contact and Fluid Pressures in Human Knee Joint for a Subpopulation","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computational vision and biomechanics","topic":"Total Knee Arthroplasty Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Finite element method; Population; Computer science; Knee Joint; Joint (building); Mathematics; Structural engineering; Engineering; Medicine; Surgery","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":[0.0004723309,0.0005895265,0.000926564,0.0005034116,0.00053313,0.001242016,0.0021885,0.002018156,0.005024541],"category_scores_gemma":[0.001457401,0.0005730453,0.001607216,0.0006832363,0.0008433512,0.001192683,0.001371278,0.0009045338,0.001061414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006037502,"about_ca_system_score_gemma":0.000925105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01067155,"about_ca_topic_score_gemma":0.008051127,"domain_scores_codex":[0.999797,0.00004349964,0.000011178,0.00006793818,0.00004006705,0.00004026625],"domain_scores_gemma":[0.9996789,0.0001214781,0.00004477645,0.00005283609,0.00005985258,0.00004225766],"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":[0.00002115874,0.00002624758,0.001541722,0.00003474595,0.00002527663,0.0001709003,0.0001307109,0.9678099,0.001038285,0.02016426,0.001213651,0.007823212],"study_design_scores_gemma":[0.000002622544,0.000009248838,0.0003256726,0.000003654219,0.000005645748,0.00005195251,0.00001644512,0.9936709,0.0000988543,0.005170843,0.0006384441,0.000005651793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06412232,0.0005039221,0.9175057,0.0005975025,0.0001265159,0.00006695645,0.0008288667,0.0004609444,0.01578723],"genre_scores_gemma":[0.8657161,0.0009760243,0.07637516,0.0003507474,0.0002500149,0.0003230771,0.001203796,0.0003709722,0.05443411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01067155,"threshold_uncertainty_score":0.0212189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0335148073410959,"score_gpt":0.2981465563620817,"score_spread":0.2646317490209858,"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."}}