{"id":"W2004473711","doi":"10.1016/j.ejpb.2014.08.004","title":"Sol–gel transition of nanoparticles/polymer mixtures for sustained delivery of exenatide to treat type 2 diabetes mellitus","year":2014,"lang":"en","type":"article","venue":"European Journal of Pharmaceutics and Biopharmaceutics","topic":"Advanced Drug Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Research Foundation of Korea","keywords":"Exenatide; Type 2 Diabetes Mellitus; Drug delivery; Nanoparticle; Pharmacology; Polymer; Chemistry; Dosage form; Medicine; Type 2 diabetes; Materials science; Chromatography; Diabetes mellitus; Nanotechnology; Chemical engineering; Endocrinology; Organic chemistry","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":[0.000143258,0.00017901,0.0001381072,0.0001664101,0.000128914,0.0001859582,0.00009711457,0.0001983958,0.001236706],"category_scores_gemma":[0.0001562314,0.0001419917,0.0002180752,0.00006899631,0.0001169122,0.0002293227,0.0001591679,0.0004923957,0.0002116152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001457323,"about_ca_system_score_gemma":0.0001521762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002683367,"about_ca_topic_score_gemma":0.0005855826,"domain_scores_codex":[0.9999328,0.00001194905,0.000006847585,0.00001720815,0.00001539918,0.00001594252],"domain_scores_gemma":[0.9999616,0.00001152061,0.000009676881,0.000002473012,0.000006235447,0.000008563264],"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":[0.0002251377,0.00004282742,0.0000415829,0.00004994423,0.000006863093,0.00002717631,0.00001912453,0.0001634737,0.9960829,0.00007422404,0.00005465542,0.003211982],"study_design_scores_gemma":[0.00004527277,0.0004678018,0.0006094037,0.000008364411,0.0000261166,0.00006539909,0.0000118526,0.001951468,0.9953673,0.00002878423,0.001411793,0.000006455267],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902424,0.001921091,0.005193174,0.0001280606,0.0001014424,0.00004924588,0.00006585938,0.00007408428,0.002224601],"genre_scores_gemma":[0.9954273,0.0005634495,0.002675855,0.00004973199,0.00001371571,0.00003326995,0.00003966142,0.00002114852,0.001175849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001236706,"threshold_uncertainty_score":0.004137218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06189276425820629,"score_gpt":0.3705355259718983,"score_spread":0.308642761713692,"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."}}