{"id":"W4230489475","doi":"10.32920/ryerson.14648730","title":"Experimental and finite element analysis of articular cartilage","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Finite element method; Displacement (psychology); Experimental data; Structural engineering; Articular cartilage; Cartilage; Stress (linguistics); Deformation (meteorology); Materials science; Cervical spine; Ultimate tensile strength; Joint (building); Biomechanics; Tensile testing; Test data; Biomedical engineering; Computer science; Composite material; Engineering; Osteoarthritis; Anatomy; Mathematics; 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":[0.001087766,0.0005412468,0.0003348949,0.0009078273,0.0003660842,0.0003439303,0.0007798162,0.0008245831,0.004776056],"category_scores_gemma":[0.00147294,0.0003022732,0.0004764968,0.0006734918,0.0005961961,0.0002956249,0.000350545,0.0004115176,0.0006774366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002726429,"about_ca_system_score_gemma":0.00037862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009497414,"about_ca_topic_score_gemma":0.001174155,"domain_scores_codex":[0.9991323,0.0001100285,0.0001015483,0.000112965,0.0004778581,0.00006523164],"domain_scores_gemma":[0.998861,0.0004461155,0.00009077764,0.0002228937,0.0003524389,0.00002688592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003117569,0.0006399826,0.005098586,0.000921891,0.00004369015,0.0003196691,0.0004665874,0.1490164,0.7896815,0.005028935,0.0007417938,0.04772925],"study_design_scores_gemma":[0.0000578254,0.001758632,0.01530401,0.0001250144,0.00007518358,0.0006048714,0.0004234345,0.4561329,0.5121778,0.002481015,0.01077817,0.00008115169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7027005,0.00123998,0.2787071,0.0001584629,0.000219537,0.0004008636,0.001582687,0.0006301071,0.01436078],"genre_scores_gemma":[0.893827,0.0005577044,0.09977214,0.00003762138,0.00003088597,0.0005040716,0.001040009,0.00006731392,0.004163227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004776056,"threshold_uncertainty_score":0.0159775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683659777853556,"score_gpt":0.2779366795189627,"score_spread":0.2611000817404271,"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."}}