{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005222507,0.0001774351,0.00009239488,0.0000970136,0.00005968952,0.0001240605,0.0001424332,0.0002743228,0.0005227081],"category_scores_gemma":[0.00006977136,0.00008428425,0.0001161953,0.00005999018,0.00008484,0.0002156965,0.000122253,0.0001557199,0.000203413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001740861,"about_ca_system_score_gemma":0.0000941793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002188781,"about_ca_topic_score_gemma":0.0004604123,"domain_scores_codex":[0.9999573,0.00000357295,0.000002324742,0.00001531441,0.00001469649,0.000006691039],"domain_scores_gemma":[0.9999682,0.000004435476,0.00001194201,0.000003982651,0.00000569836,0.000005774781],"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":[0.00001127616,0.00000493321,0.00006026933,0.00004112117,0.000002365421,0.00003398223,0.000005046987,0.00007549842,0.9936678,0.0001931982,0.0000784968,0.005826065],"study_design_scores_gemma":[0.000008168419,0.0001419534,0.001360479,0.000004851199,0.00001199468,0.00043937,0.000008245394,0.002248265,0.9883739,0.00006700515,0.007329233,0.00000651155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9013988,0.009976623,0.07989248,0.0002732712,0.0002293425,0.0001166679,0.0003135192,0.000552393,0.007246846],"genre_scores_gemma":[0.9460326,0.002974695,0.04624628,0.0002153311,0.00003477565,0.00006569494,0.0002094474,0.00002555392,0.004195632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005227081,"threshold_uncertainty_score":0.001748621,"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."}}