{"id":"W4414536187","doi":"10.1101/2025.09.24.677987","title":"Pericellular Matrix Proteoglycan Content is Less Affected in The Mid-Zone Cartilage in Early Post-Traumatic Osteoarthritis","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Pohjois-Savon Rahasto; Canadian Institutes of Health Research; Maire Lisko Foundation; Kuopion Yliopistollinen Sairaala; Saastamoisen säätiö; Oulun Yliopisto; Päivikki ja Sakari Sohlbergin Säätiö; Novo Nordisk; Sigrid Juséliuksen Säätiö; Itä-Suomen Yliopisto; Suomen Kulttuurirahasto; Arthritis Society; Novo Nordisk Fonden; Academy of Finland","keywords":"Proteoglycan; Cartilage; Osteoarthritis; Chondrocyte; Extracellular matrix; Matrix (chemical analysis)","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":[0.0002454373,0.0003275955,0.0006302429,0.001050765,0.0002191769,0.0005465338,0.0001544077,0.000428537,0.001346589],"category_scores_gemma":[0.0003910737,0.0003981666,0.0003345323,0.0003486004,0.0004477546,0.0002560116,0.0003579294,0.0003790836,0.0003676271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001601315,"about_ca_system_score_gemma":0.0001327745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008514135,"about_ca_topic_score_gemma":0.0007630992,"domain_scores_codex":[0.9997436,0.00002166146,0.00004175882,0.00005052759,0.0000851576,0.00005719818],"domain_scores_gemma":[0.9991927,0.00003289185,0.0004356521,0.00004081583,0.0001211441,0.000176951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001361428,0.00007393737,0.02125895,0.00007088787,0.00003462662,0.0003902739,0.0001294608,0.00001603106,0.9751306,0.0000176482,0.00001806863,0.001498075],"study_design_scores_gemma":[0.00002910211,0.001789593,0.9031323,0.00001902372,0.00006740893,0.003092635,0.0005064117,0.0001914649,0.09067973,0.00004252105,0.0004354397,0.00001431453],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993113,0.0003227246,0.0001707478,0.000006282931,0.000002508746,0.000005569076,0.00005778838,0.000005097407,0.0001181005],"genre_scores_gemma":[0.999178,0.0001624575,0.0001052104,0.00001318558,0.000002309299,0.00000915668,0.00009628335,0.000003180857,0.0004302013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001346589,"threshold_uncertainty_score":0.0045048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020882502777169,"score_gpt":0.2365486753701275,"score_spread":0.2163398503423558,"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."}}