{"id":"W4386818214","doi":"10.1002/advs.202303665","title":"“Smart” Matrix Microneedle Patch Made of Self‐Crosslinkable and Multifunctional Polymers for Delivering Insulin On‐Demand","year":2023,"lang":"en","type":"article","venue":"Advanced Science","topic":"Advancements in Transdermal Drug Delivery","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; University of Toronto; Leona M. and Harry B. Helmsley Charitable Trust","keywords":"Phenylboronic acid; Insulin; Polymer; Transdermal; Hyaluronic acid; Chemistry; Combinatorial chemistry; Covalent bond; In vivo; Catechol; Insulin delivery; Self-healing hydrogels; Materials science; Organic chemistry; Pharmacology; Diabetes mellitus; Type 1 diabetes; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007181865,0.0001807014,0.0002045952,0.0002175099,0.00059672,0.00001614021,0.0003032495,0.0001039322,0.00009503585],"category_scores_gemma":[0.0001143891,0.0001844503,0.00005229151,0.0006671774,0.0007552116,0.0003826998,0.0001132183,0.0002700989,0.00004479242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007213077,"about_ca_system_score_gemma":0.0001059872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001480436,"about_ca_topic_score_gemma":0.000004944101,"domain_scores_codex":[0.9983134,0.0000440238,0.0003146512,0.0004904288,0.0002563259,0.0005811293],"domain_scores_gemma":[0.9988609,0.000540653,0.0001206335,0.0001703997,0.0001374296,0.0001700147],"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":[0.0006734696,0.0002052053,0.004846842,0.0001494332,0.00005850643,0.000009618042,0.001102216,0.06616341,0.8937258,0.0009132243,0.0001677707,0.03198449],"study_design_scores_gemma":[0.006639634,0.0005933853,0.01377645,0.00007581026,0.00009918075,0.00001915142,0.0008474763,0.1267916,0.8052976,0.001074842,0.04414518,0.0006396921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928151,0.0006825328,0.003987537,0.0001985264,0.001078295,0.0005310454,0.0001702442,0.0001331064,0.0004036585],"genre_scores_gemma":[0.9893196,0.0007028716,0.008480001,0.0004355947,0.00005125714,0.00007654767,0.00001493005,0.0000199043,0.0008992685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08842825,"threshold_uncertainty_score":0.7521666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06081475464513367,"score_gpt":0.4219545361098989,"score_spread":0.3611397814647652,"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."}}