{"id":"W2757019641","doi":"10.1002/adhm.201700718","title":"An Advanced Multifunctional Hydrogel‐Based Dressing for Wound Monitoring and Drug Delivery","year":2017,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":377,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Victoria","funders":"National Cancer Institute; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Wound care; Medicine; Antibiotics; Drug delivery; Intensive care medicine; Drug; Population; Wound healing; Chronic wound; Biomedical engineering; Surgery; Pharmacology; Materials science; Nanotechnology; Microbiology; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003158725,0.0003666854,0.000501972,0.00008549805,0.001081488,0.0003476312,0.0002617261,0.0001356331,0.00001412876],"category_scores_gemma":[0.0001367341,0.0003932427,0.00004632654,0.00003173531,0.000100827,0.001086959,0.00004252294,0.0001024392,0.000004860507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001286164,"about_ca_system_score_gemma":0.00004339112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001389951,"about_ca_topic_score_gemma":0.00006277064,"domain_scores_codex":[0.9981059,0.00004933129,0.0005111967,0.0004942996,0.0001729983,0.0006662752],"domain_scores_gemma":[0.9985344,0.0001529206,0.00022852,0.0006666398,0.0001467334,0.0002707615],"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":[0.0002246353,0.00001629166,0.0004443135,0.0005211646,0.00001865652,0.000007013314,0.00009773232,0.03541252,0.9405996,0.0002024758,0.000007056902,0.02244859],"study_design_scores_gemma":[0.00175333,0.0001024655,0.005423324,0.0003853779,0.00002180078,0.00000792328,0.0001208085,0.00175725,0.9860334,0.002103603,0.00170064,0.0005900104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99247,0.0003823908,0.002110434,0.0001235537,0.003604134,0.0004775726,0.0002299616,0.0005619502,0.00004003738],"genre_scores_gemma":[0.9530383,0.0001355427,0.04561641,0.0000553693,0.0006609269,0.0002261369,0.0000986796,0.0001272041,0.00004139773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04543391,"threshold_uncertainty_score":0.9998519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03000289067708073,"score_gpt":0.3082745710250304,"score_spread":0.2782716803479497,"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."}}