{"id":"W2799781396","doi":"10.1371/journal.pone.0196203","title":"Site-specific glycosaminoglycan content is better maintained in the pericellular matrix than the extracellular matrix in early post-traumatic osteoarthritis","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Pohjois-Savon Rahasto; European Research Council; Canadian Institutes of Health Research; Sigrid Juséliuksen Säätiö; Maj ja Tor Nesslingin Säätiö; Academy of Finland; Päivikki ja Sakari Sohlbergin Säätiö; European Commission","keywords":"Cartilage; Osteoarthritis; Anatomy; Patella; Anterior cruciate ligament; Extracellular matrix; Knee Joint; Fibrocartilage; Femur; Tibia; Densitometry; Matrix (chemical analysis); Glycosaminoglycan; Condyle; Medicine; Chemistry; Biomedical engineering; Pathology; Articular cartilage; Surgery; Internal 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002313855,0.0002336356,0.0002388059,0.0005825334,0.0001621777,0.0003811601,0.0001570475,0.0002696814,0.001072483],"category_scores_gemma":[0.0003154345,0.0001852519,0.0001875288,0.0003300177,0.0002762709,0.000232975,0.0001897894,0.000264746,0.0001980452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001499588,"about_ca_system_score_gemma":0.0001420914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000927948,"about_ca_topic_score_gemma":0.0009040853,"domain_scores_codex":[0.9998418,0.00001703906,0.00002373433,0.00002768491,0.00006164118,0.00002815679],"domain_scores_gemma":[0.9995632,0.00002472266,0.0002357017,0.00002200427,0.00007689979,0.00007756977],"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":[0.001071774,0.0000512385,0.01477079,0.0001638506,0.00002803977,0.0002479303,0.00008343259,0.00002317421,0.9801453,0.00002518056,0.00002218804,0.003367056],"study_design_scores_gemma":[0.00003775245,0.002750025,0.6572683,0.00003621993,0.0001161003,0.003951753,0.0003924286,0.0003989346,0.3336111,0.00006848863,0.001352991,0.00001589543],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970869,0.002291151,0.0003113138,0.00001301508,0.000005329989,0.000006128183,0.000056151,0.000007036699,0.0002228076],"genre_scores_gemma":[0.9981641,0.0008720575,0.0002882414,0.0000140242,0.000004909392,0.000009507136,0.0001108168,0.000002856308,0.0005334226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001072483,"threshold_uncertainty_score":0.003587842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0434258760681269,"score_gpt":0.2435669696168548,"score_spread":0.2001410935487279,"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."}}