{"id":"W2028105603","doi":"10.1016/s0021-9290(03)00280-x","title":"A method to estimate the elastic properties of the extracellular matrix of articular cartilage","year":2003,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Extracellular matrix; Articular cartilage; Matrix (chemical analysis); Cartilage; Materials science; Biomedical engineering; Composite material; Chemistry; Anatomy; Osteoarthritis; Medicine; Pathology; Biochemistry","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":[0.0008116168,0.0007672394,0.0005895545,0.001422057,0.0003976685,0.0007108204,0.0007872322,0.001345832,0.001352988],"category_scores_gemma":[0.002848321,0.0004321634,0.0006557866,0.0006772746,0.0004577442,0.001006647,0.0007319276,0.001036034,0.0007928492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002449403,"about_ca_system_score_gemma":0.0006635772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002034515,"about_ca_topic_score_gemma":0.001762347,"domain_scores_codex":[0.9996421,0.00006863307,0.00001854977,0.00008104045,0.0001686979,0.00002086808],"domain_scores_gemma":[0.998778,0.0006726239,0.0001063854,0.00009159071,0.0003068652,0.00004451034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002518257,0.0001485456,0.002947394,0.0003921074,0.0001842544,0.0001548126,0.0001109185,0.06822173,0.2392659,0.01027528,0.002310064,0.6757371],"study_design_scores_gemma":[0.00004459381,0.0001391319,0.003098571,0.00003537444,0.00006899241,0.0004527553,0.00003502716,0.9394636,0.04500369,0.00603951,0.00553189,0.00008694659],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003286056,0.0001924583,0.9960414,0.00003010474,0.00003417664,0.00001887669,0.00003715228,0.000169772,0.0001900239],"genre_scores_gemma":[0.05973937,0.000510824,0.9366529,0.00005015903,0.00007386575,0.0001380086,0.0001569406,0.00007812998,0.002599759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002034515,"threshold_uncertainty_score":0.004526198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824417551468619,"score_gpt":0.2994374090007894,"score_spread":0.2811932334861032,"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."}}