{"id":"W4312212026","doi":"10.3390/ijms232416191","title":"Parametric Drug Release Optimization of Anti-Inflammatory Drugs by Gold Nanoparticles for Topically Applied Ocular Therapy","year":2022,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Advanced Drug Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research; Fondation CHU de Québec; Fonds de Recherche du Québec - Santé; Fondation des Maladies de l'Oeil","keywords":"Flurbiprofen; Colloidal gold; Drug delivery; Drug; Eye drop; Bioavailability; Cornea; Ketorolac; Controlled release; Nanoparticle; Mucoadhesion; Pharmacology; Nanotechnology; Chemistry; Biomedical engineering; Materials science; Drug carrier; Medicine; Ophthalmology; Analgesic","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":[0.0003255227,0.0003276677,0.0002748042,0.0001795656,0.0001412025,0.0002870494,0.0001563104,0.0003378923,0.0004394058],"category_scores_gemma":[0.0002756639,0.0001616937,0.0002484728,0.0001284514,0.0001577756,0.000235178,0.0001752554,0.0002422317,0.0002221139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003256301,"about_ca_system_score_gemma":0.0001516554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000544143,"about_ca_topic_score_gemma":0.0009945504,"domain_scores_codex":[0.9997799,0.00003592475,0.0000216487,0.00005447213,0.00007604842,0.00003196844],"domain_scores_gemma":[0.9999093,0.00002790073,0.00002205648,0.000009655118,0.00002262573,0.00000849068],"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":[0.00003457547,0.0000163206,0.00003840806,0.00003168929,0.000002263392,0.00001266134,0.00001527139,0.0001550173,0.9979267,0.00004142221,0.00002075747,0.001704758],"study_design_scores_gemma":[0.000005681336,0.0001670203,0.0002966597,0.000002418188,0.000005152079,0.00001713924,0.000005941748,0.001377546,0.9974904,0.00001103765,0.000617188,0.000003813399],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804785,0.002128407,0.01469669,0.00007531674,0.00005278898,0.0001070427,0.0001193253,0.00009236964,0.002249674],"genre_scores_gemma":[0.9817458,0.001255392,0.01431279,0.00003164796,0.000009154537,0.0001127922,0.00009783417,0.00003476867,0.002399715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000544143,"threshold_uncertainty_score":0.002362669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0366792593768008,"score_gpt":0.369870968728551,"score_spread":0.3331917093517502,"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."}}