{"id":"W4409059201","doi":"10.1038/s41467-025-58278-4","title":"Catechol-based chemistry for hypoglycemia-responsive delivery of zinc-glucagon via hydrogel-based microneedle patch technology","year":2025,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advancements in Transdermal Drug Delivery","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Diabetes Canada; University of Toronto","funders":"Pfizer Canada; Leona M. and Harry B. Helmsley Charitable Trust; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Mitacs; University of Toronto; Natural Sciences and Engineering Research Council of Canada; Pfizer","keywords":"Catechol; Glucagon; Chemistry; Self-healing hydrogels; Zinc; Hypoglycemia; Nanotechnology; Biochemistry; Medicine; Materials science; Endocrinology; Organic chemistry; Insulin","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":[0.00007781588,0.0002260877,0.0001389807,0.0001043116,0.00008135298,0.0001181472,0.0002123811,0.0002887642,0.0005300781],"category_scores_gemma":[0.0001012279,0.0001040515,0.0001780371,0.00006546071,0.00008826091,0.000218006,0.0001722423,0.0002845855,0.0001912706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002286584,"about_ca_system_score_gemma":0.0001001534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002619645,"about_ca_topic_score_gemma":0.0004243164,"domain_scores_codex":[0.9999298,0.000006322239,0.000005562536,0.00002194309,0.00002392386,0.00001242188],"domain_scores_gemma":[0.9999547,0.000007141417,0.00001978969,0.000002780625,0.000006890178,0.000008724748],"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":[0.00001752053,0.000008350302,0.00003469571,0.00006631331,0.000002628419,0.00003772927,0.000008336084,0.00007810862,0.9973302,0.0001174576,0.00005056662,0.002248178],"study_design_scores_gemma":[0.00001296603,0.0001405057,0.0003882451,0.000004545265,0.000007856016,0.0001603577,0.000008105362,0.001447066,0.9955331,0.00003072817,0.002259694,0.000006924056],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9070045,0.009042907,0.07660723,0.0004250409,0.0002359308,0.0001831312,0.0003616324,0.0006198746,0.005519682],"genre_scores_gemma":[0.9669555,0.002343164,0.02843835,0.0001618541,0.0000228855,0.00008103908,0.0001311849,0.00002406993,0.0018418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005300781,"threshold_uncertainty_score":0.001773238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04174842560588004,"score_gpt":0.4174651249452868,"score_spread":0.3757166993394067,"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."}}