{"id":"W2142602769","doi":"10.1016/j.clinbiomech.2005.12.010","title":"Arthroscopic evaluation of cartilage degeneration using indentation testing—Influence of indenter geometry","year":2006,"lang":"en","type":"article","venue":"Clinical Biomechanics","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Indentation; Materials science; Cartilage; Deformation (meteorology); Finite element method; Synovial joint; Matrix (chemical analysis); Biomedical engineering; Composite material; Articular cartilage; Osteoarthritis; Anatomy; Structural engineering; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001113386,0.0001217118,0.0003438141,0.0001913604,0.00003800321,0.000008339174,0.00005266782,0.0001995761,0.00003588847],"category_scores_gemma":[0.0005059614,0.000115581,0.0001090973,0.0004691448,0.00006290688,0.0001143473,0.00003151099,0.00009216157,0.000008483416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007799709,"about_ca_system_score_gemma":0.0002093491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003241107,"about_ca_topic_score_gemma":0.00002319028,"domain_scores_codex":[0.9979935,0.0001240382,0.0008901573,0.0002520665,0.0005915775,0.0001486033],"domain_scores_gemma":[0.998385,0.0001106742,0.0004429918,0.0002490601,0.0007525121,0.00005983019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005784563,0.0003594804,0.02728576,0.00005026093,0.00001213071,0.000002971442,0.00001893452,0.0001831753,0.9560772,0.00025686,0.000007087291,0.01568831],"study_design_scores_gemma":[0.004763018,0.002188619,0.01110672,0.0002996994,0.0005860651,0.00001379946,0.00005091647,0.009062176,0.969591,0.002208711,0.000009552393,0.0001197663],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975758,0.0002094892,0.001173647,0.00001430891,0.000319295,0.000583612,0.00001727768,0.00002355812,0.00008300378],"genre_scores_gemma":[0.9939001,0.000009284713,0.005771656,0.00004682054,0.0001255559,0.00001099229,0.00008787507,0.00001529335,0.0000324756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01617905,"threshold_uncertainty_score":0.4713256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1163580580175077,"score_gpt":0.3987592936904076,"score_spread":0.2824012356728999,"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."}}