{"id":"W2005864801","doi":"10.1016/j.ejps.2006.12.007","title":"Nanoparticulate delivery system for insulin: Design, characterization and in vitro/in vivo bioactivity","year":2007,"lang":"en","type":"article","venue":"European Journal of Pharmaceutical Sciences","topic":"Advanced Drug Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":146,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University; Cancer Research Institute","keywords":"In vivo; In vitro; Insulin; Dextran; Chemistry; Controlled release; Chromatography; Materials science; Biophysics; Nanotechnology; Biochemistry; Biology; Biotechnology","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":[0.0003479014,0.000315994,0.000333961,0.0002388701,0.0002159404,0.000379866,0.0002902375,0.0003740031,0.0005007954],"category_scores_gemma":[0.000401927,0.0001974208,0.0002905246,0.0001466107,0.0001768272,0.000336404,0.0001978174,0.0004679477,0.0003079059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003188271,"about_ca_system_score_gemma":0.0002413404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005423571,"about_ca_topic_score_gemma":0.0006175196,"domain_scores_codex":[0.9998598,0.00002262839,0.00001397651,0.00004140105,0.00004465806,0.0000174667],"domain_scores_gemma":[0.9998444,0.00002725472,0.00003662526,0.00001474497,0.00005654051,0.00002044911],"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":[0.000120846,0.00006252083,0.0001075865,0.00003713057,0.000007744254,0.00002781392,0.00001596266,0.0001363444,0.994872,0.00006642993,0.00003428598,0.004511318],"study_design_scores_gemma":[0.00001564258,0.0003470014,0.0004704231,0.000002542158,0.00002710448,0.0001816433,0.00000892152,0.001137484,0.9961703,0.00001461819,0.001619504,0.000004778307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9361908,0.002980418,0.05785139,0.0002170947,0.0000751357,0.0002073517,0.0002168131,0.0001635821,0.002097361],"genre_scores_gemma":[0.9421923,0.001928212,0.0489307,0.0001247495,0.00002983868,0.000127055,0.0004024375,0.00007400317,0.006190799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005423571,"threshold_uncertainty_score":0.002313256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1414739210085206,"score_gpt":0.4120379451152759,"score_spread":0.2705640241067553,"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."}}