{"id":"W4295648533","doi":"10.1016/j.actbio.2022.09.002","title":"The intrinsic quality of proteoglycans, but not collagen fibres, degrades in osteoarthritic cartilage","year":2022,"lang":"en","type":"article","venue":"Acta Biomaterialia","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"H2020 Marie Skłodowska-Curie Actions; Pohjois-Savon Rahasto; Itä-Suomen Yliopisto; Suomen Kulttuurirahasto; Emil Aaltosen Säätiö; European Commission; Maire Lisko Foundation; Academy of Finland","keywords":"Materials science; Cartilage; Proteoglycan; Osteoarthritis; Swelling; Matrix (chemical analysis); Biomedical engineering; Extracellular matrix; Biophysics; Fibril; Composite material; Matrix metalloproteinase; Softening; Stress relaxation; Collagen fibril; Degradation (telecommunications); Chemistry; Anatomy; Pathology; Biochemistry; Biology; Creep; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005877913,0.0001842387,0.0004117214,0.0001058102,0.0002472245,0.00004174658,0.0001835391,0.00006589726,0.0002462423],"category_scores_gemma":[0.0001118813,0.0001425043,0.00009795454,0.0002716072,0.00012066,0.00006603037,0.0001761922,0.00005832662,0.00001261584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001215678,"about_ca_system_score_gemma":0.0001821254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003844038,"about_ca_topic_score_gemma":0.0005475641,"domain_scores_codex":[0.9980593,0.0003305197,0.0005686434,0.0002751166,0.0004055797,0.0003608337],"domain_scores_gemma":[0.9991376,0.00009179307,0.0001786123,0.0004619197,0.00004489707,0.00008521519],"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":[0.001485107,0.0001398421,0.001233281,0.00009448634,0.00001627845,0.00009285879,0.0003759042,7.041424e-8,0.992458,0.0005198831,0.0002531674,0.003331084],"study_design_scores_gemma":[0.004494083,0.002101442,0.005830971,0.00007536103,0.00004261826,0.00006302801,0.000942392,6.399497e-7,0.9785404,0.000191415,0.007551887,0.0001657315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957688,0.000497236,2.654961e-7,0.0009684805,0.000947937,0.001296407,0.0002851512,0.00005616874,0.0001795563],"genre_scores_gemma":[0.9981372,0.00004334268,0.0001028506,0.0001073276,0.00008279856,0.0004125459,0.0001179038,0.00002761964,0.0009684459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01391761,"threshold_uncertainty_score":0.5811155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02597389644622954,"score_gpt":0.2776986549833357,"score_spread":0.2517247585371061,"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."}}