{"id":"W4407869525","doi":"10.1101/2025.02.18.638769","title":"Fabrication & Characterization of Hyaluronic Acid/Eucalyptus Hydrogels Loaded with PLGA Nanoparticles with Methotrexate as an Injectable Therapy for Rheumatoid Arthritis","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Drug Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Hyaluronic acid; Methotrexate; Rheumatoid arthritis; Self-healing hydrogels; Characterization (materials science); Fabrication; PLGA; Nanoparticle; Chitosan; Chemistry; Arthritis; Materials science; Biomedical engineering; Nanotechnology; Medicine; Polymer chemistry; Biochemistry; Surgery; Internal medicine; Pathology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001073021,0.0007090435,0.001000125,0.0003512195,0.0003156667,0.00009032657,0.0005840378,0.0007380759,0.00008766035],"category_scores_gemma":[0.000117629,0.0006712363,0.0001243554,0.0007190942,0.0002783514,0.0004347998,0.0001589256,0.000816244,0.00002663303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002467361,"about_ca_system_score_gemma":0.001092551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005011438,"about_ca_topic_score_gemma":0.00001357888,"domain_scores_codex":[0.9960441,0.0007940371,0.0008850778,0.001166524,0.0003428106,0.0007674223],"domain_scores_gemma":[0.9959778,0.000230323,0.001206041,0.001111201,0.001170544,0.0003041263],"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":[0.001667407,0.0005143431,0.005416175,0.0003743921,0.0006419332,0.000008410497,0.0001226789,0.001701904,0.988839,0.0004707249,0.00002056554,0.0002225171],"study_design_scores_gemma":[0.003125547,0.0004848357,0.003522368,0.0005536167,0.0001518313,2.108276e-7,0.00001089074,0.001477557,0.9709032,0.000009659821,0.01900817,0.0007521801],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752071,0.002285549,0.01748025,0.0001206263,0.0007089436,0.002961702,0.0008600283,0.0003670028,0.000008770472],"genre_scores_gemma":[0.9891396,0.002190242,0.00648239,0.0003078768,0.0001615527,0.001535325,0.00001835765,0.0001343316,0.00003030849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01898761,"threshold_uncertainty_score":0.9995739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04357839846819263,"score_gpt":0.3274401303144479,"score_spread":0.2838617318462552,"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."}}