{"id":"W4386050341","doi":"10.1002/inmd.20230008","title":"Engineering multifunctional adhesive hydrogel patches for biomedical applications","year":2023,"lang":"en","type":"article","venue":"Interdisciplinary medicine","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Self-healing hydrogels; Transdermal; Adhesive; Nanotechnology; Materials science; Drug delivery; Tissue engineering; Transdermal patch; Biomedical engineering; Polymer chemistry; Engineering","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":[0.0001585122,0.0004268845,0.0001933647,0.0002341566,0.00007080079,0.0002728847,0.0002348994,0.00046339,0.002208618],"category_scores_gemma":[0.0001538268,0.0001539075,0.000237923,0.0001637619,0.00009274072,0.0003925017,0.0002035203,0.0003286983,0.0009036323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001614794,"about_ca_system_score_gemma":0.0000746401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009094937,"about_ca_topic_score_gemma":0.0001645103,"domain_scores_codex":[0.9999399,0.000008343156,0.00000616235,0.00001497406,0.00001629425,0.00001424908],"domain_scores_gemma":[0.9999462,0.00001558895,0.00001863582,0.000003793281,0.0000102236,0.000005551509],"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":[0.00001736774,0.00002059827,0.00004460646,0.0009865285,0.00001360906,0.0002020868,0.00002264034,0.0003713146,0.9706186,0.0008796921,0.0009473062,0.02587566],"study_design_scores_gemma":[0.00002190857,0.0003018147,0.0008893326,0.0001183732,0.00004847307,0.0007476076,0.00002754552,0.002636896,0.9233837,0.0003964568,0.07140741,0.0000206009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4982985,0.2939277,0.1479134,0.001283571,0.001957108,0.0005409956,0.001136225,0.001478247,0.05346427],"genre_scores_gemma":[0.8429834,0.08148927,0.05829433,0.00110949,0.0003504684,0.0003436701,0.0005258034,0.0001254514,0.01477806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002208618,"threshold_uncertainty_score":0.007388592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02971903728170456,"score_gpt":0.3322867582822909,"score_spread":0.3025677210005863,"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."}}