{"id":"W4409713899","doi":"10.1016/j.joca.2025.02.557","title":"The anti-inflammatory and anti-catabolic effects of hyaluronic acid-niacinamide in Raw264.7 macrophages and C28 chondrocytes","year":2025,"lang":"en","type":"article","venue":"Osteoarthritis and Cartilage","topic":"Proteoglycans and glycosaminoglycans research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Hyaluronic acid; Niacinamide; Catabolism; Chemistry; Pharmacology; Cancer research; Biochemistry; Medicine; Nicotinamide; Metabolism; Enzyme; Anatomy","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":[0.0003998554,0.0004228631,0.0003496835,0.0002438049,0.0002227984,0.0002380332,0.0002425379,0.0003948388,0.001567396],"category_scores_gemma":[0.0001657343,0.0001897581,0.0004120488,0.0002221826,0.0003830722,0.0002984546,0.0001715863,0.0007487048,0.0003217492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002231813,"about_ca_system_score_gemma":0.0004931777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001163029,"about_ca_topic_score_gemma":0.001758439,"domain_scores_codex":[0.9996616,0.00007350949,0.00005080901,0.00003845604,0.00006919026,0.0001064572],"domain_scores_gemma":[0.9998094,0.00003500682,0.00002954444,0.00002445404,0.00004329036,0.00005824488],"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":[0.001236155,0.00008393822,0.0001446433,0.0001086295,0.000007687629,0.00005929494,0.00002952644,0.00004552236,0.9971982,0.00007736425,0.00004393024,0.0009649389],"study_design_scores_gemma":[0.0001183438,0.001602338,0.005687266,0.000009951416,0.00002033806,0.0001334948,0.00007596939,0.0002451508,0.9908941,0.00003838001,0.001166987,0.000007750607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938635,0.002971266,0.0008541775,0.0001946552,0.00008303436,0.0000315896,0.0005612648,0.00003188944,0.001408702],"genre_scores_gemma":[0.991553,0.001405146,0.001394412,0.0001109659,0.0000382344,0.00009343015,0.0008446214,0.0000117735,0.004548535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001567396,"threshold_uncertainty_score":0.00524348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002185499397243066,"score_gpt":0.2212317141063416,"score_spread":0.2190462147090985,"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."}}