{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000235289,0.0002969412,0.0001950085,0.0002536659,0.0001168727,0.0002752886,0.000304386,0.0005594821,0.0002235357],"category_scores_gemma":[0.0004764459,0.0002743733,0.0002957614,0.000201151,0.0004688878,0.0003788036,0.0001936992,0.0002713859,0.0001160853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002440978,"about_ca_system_score_gemma":0.0001911393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002349023,"about_ca_topic_score_gemma":0.00227722,"domain_scores_codex":[0.9998603,0.00001762476,0.000009263413,0.00002929374,0.00006953758,0.00001394164],"domain_scores_gemma":[0.9998266,0.00005834562,0.00006334081,0.00001868874,0.00002158076,0.00001153254],"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":[0.00007339383,0.00005089629,0.005154568,0.0001152683,0.00002665998,0.0001504383,0.00008277885,0.328662,0.6591542,0.0008887539,0.0000414332,0.005599637],"study_design_scores_gemma":[0.000005410561,0.0001312345,0.0140209,0.00001369913,0.00001487147,0.0001716655,0.00003245058,0.9130054,0.07135492,0.000715673,0.0005109818,0.00002274734],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9160287,0.0007960249,0.08214185,0.00003962965,0.000009748176,0.00001629038,0.0001183123,0.00009572205,0.0007538499],"genre_scores_gemma":[0.9868737,0.0004255701,0.01190824,0.00001697298,0.000002889492,0.00001685661,0.0001069046,0.00001575206,0.000633067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002349023,"threshold_uncertainty_score":0.00467068,"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."}}