{"id":"W3136070550","doi":"10.1016/j.ejps.2021.105811","title":"Formulation and design optimization of nano-transferosomes using pioglitazone and eprosartan mesylate for concomitant therapy against diabetes and hypertension","year":2021,"lang":"en","type":"article","venue":"European Journal of Pharmaceutical Sciences","topic":"Advancements in Transdermal Drug Delivery","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Pharmacology; Pharmacodynamics; Transdermal; Concomitant; Pioglitazone; Drug; Diabetes mellitus; In vivo; Internal medicine; Pharmacokinetics; Type 2 diabetes; Endocrinology","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":[0.0001665581,0.0001871134,0.0002287923,0.000145418,0.0001422317,0.000318649,0.0001714156,0.0002549724,0.0006579872],"category_scores_gemma":[0.0001626067,0.0001278369,0.0002974297,0.0001007278,0.00009697068,0.000305498,0.000168762,0.0002854654,0.0002840028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002931025,"about_ca_system_score_gemma":0.0003135605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006790694,"about_ca_topic_score_gemma":0.001305385,"domain_scores_codex":[0.9999318,0.00001058261,0.000008574637,0.00001801757,0.00001664589,0.00001426805],"domain_scores_gemma":[0.9999632,0.000005824169,0.00001301669,0.000002769475,0.000009942778,0.00000529376],"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":[0.0001689233,0.0001002206,0.0001792079,0.000138751,0.0000169756,0.00006676399,0.00002409652,0.001447796,0.9898767,0.0004375716,0.0001199688,0.007422902],"study_design_scores_gemma":[0.00005738717,0.000522413,0.0008502638,0.00001136722,0.00005933901,0.0001238517,0.00002438703,0.007657346,0.9856163,0.00006412034,0.0050001,0.00001319243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737482,0.001757503,0.02138455,0.0001585721,0.000050944,0.0002264226,0.0001836801,0.00008301526,0.002407201],"genre_scores_gemma":[0.9778601,0.001202559,0.01749498,0.0000695303,0.000009948852,0.0001690129,0.000193782,0.00002751906,0.002972479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006790694,"threshold_uncertainty_score":0.00220114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.237103763098265,"score_gpt":0.4212526928212882,"score_spread":0.1841489297230233,"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."}}