{"id":"W2313430942","doi":"10.1002/adhm.201500553","title":"Flexible pH‐Sensing Hydrogel Fibers for Epidermal Applications","year":2016,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":254,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Institute of Dental and Craniofacial Research; National Institute of Biomedical Imaging and Bioengineering; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Microfiber; Materials science; Biomedical engineering; Wound healing; Spinning; Self-healing; Fiber; Nanotechnology; Composite material; Surgery; Pathology; Medicine","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":[0.0001676411,0.0003582218,0.00009723976,0.0001831433,0.0001286958,0.0001640797,0.0001627352,0.0003280797,0.002151447],"category_scores_gemma":[0.000121234,0.0001323458,0.0001740048,0.0001265541,0.00008434857,0.0003434375,0.0001171247,0.00028204,0.0003631605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002197712,"about_ca_system_score_gemma":0.000120698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002667318,"about_ca_topic_score_gemma":0.0005725512,"domain_scores_codex":[0.9999501,0.000005611294,0.00000339695,0.00001404485,0.00001776235,0.000009227827],"domain_scores_gemma":[0.9999248,0.00001829834,0.00002216608,0.000006423592,0.00001589327,0.00001244801],"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":[0.00002621339,0.00001470487,0.00008469084,0.00005973321,0.000002252713,0.0000474251,0.000008029061,0.0001544401,0.9902809,0.0001449118,0.0001589449,0.009017709],"study_design_scores_gemma":[0.0000125897,0.0001974044,0.001354346,0.00001905289,0.00001104075,0.0002787743,0.00001723378,0.001953925,0.9883235,0.0001421886,0.007678198,0.00001174562],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7824255,0.0252939,0.1722324,0.001014208,0.0006286968,0.0003736065,0.001201569,0.0008620715,0.01596805],"genre_scores_gemma":[0.9062954,0.006505054,0.07917354,0.0003114812,0.00008838465,0.0001473848,0.0003227434,0.00005414523,0.007101947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002151447,"threshold_uncertainty_score":0.00719732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02263524539321641,"score_gpt":0.2817227144277959,"score_spread":0.2590874690345795,"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."}}