{"id":"W2894019034","doi":"10.1002/smll.201870176","title":"Insulin Delivery Platforms: Multiresponsive Supramolecular Theranostic Nanoplatform Based on Pillar[5]arene and Diphenylboronic Acid Derivatives for Integrated Glucose Sensing and Insulin Delivery (Small 38/2018)","year":2018,"lang":"en","type":"article","venue":"Small","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Insulin delivery; Insulin; Supramolecular chemistry; Pillar; Chemistry; Delivery system; Nanotechnology; Combinatorial chemistry; Materials science; Pharmacology; Medicine; Diabetes mellitus; Internal medicine; Endocrinology; Type 1 diabetes; Organic chemistry; Engineering; Molecule","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":[0.0001473359,0.0003732556,0.0001869008,0.0002124425,0.0001628033,0.0003430448,0.0002924674,0.0004505726,0.0009521206],"category_scores_gemma":[0.0001072806,0.0002681587,0.0002116963,0.0001148998,0.0001966718,0.0005173383,0.0003689851,0.0004246916,0.0004061931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003068764,"about_ca_system_score_gemma":0.0001500709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002373755,"about_ca_topic_score_gemma":0.000501138,"domain_scores_codex":[0.9999049,0.00001016848,0.000007964719,0.0000307247,0.0000243114,0.00002195841],"domain_scores_gemma":[0.9999578,0.000006434449,0.00001697848,0.000003084416,0.000005771324,0.00001003738],"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":[0.00003484909,0.00001976165,0.00002399933,0.00003461339,0.000004696607,0.00003157701,0.00001196474,0.000109211,0.9966999,0.0001740685,0.00007193721,0.002783444],"study_design_scores_gemma":[0.00001939141,0.0001478011,0.0001782385,0.000002221963,0.000009515325,0.00005420214,0.000005934209,0.002001011,0.9960557,0.00004249318,0.00147451,0.000009078019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.946314,0.004331247,0.04274653,0.0004597495,0.0001930885,0.0002043907,0.000221673,0.0007313219,0.004798046],"genre_scores_gemma":[0.9709229,0.00115425,0.02342705,0.0002921514,0.00003555559,0.00008849403,0.0001366625,0.00003512896,0.003907842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009521206,"threshold_uncertainty_score":0.003185153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201613821205464,"score_gpt":0.2376812865436481,"score_spread":0.2175199044231017,"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."}}