{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002076477,0.0002823368,0.0004454721,0.00008417886,0.0001987381,0.00003308789,0.0001457938,0.000128983,0.00005281406],"category_scores_gemma":[0.00006694782,0.0002338943,0.00006176523,0.0001082293,0.00007080975,0.0002833354,0.0000285701,0.00004138059,0.00007834819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001424594,"about_ca_system_score_gemma":0.00002647818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002375434,"about_ca_topic_score_gemma":0.00001618968,"domain_scores_codex":[0.9982245,0.00003756072,0.0005856897,0.0003690686,0.0001160905,0.0006671009],"domain_scores_gemma":[0.9989393,0.0002458085,0.0001111769,0.0004193516,0.0001043368,0.0001800355],"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":[0.00004467882,0.000005218533,0.000003479342,0.0003327216,0.00001555613,0.000001707036,0.00003995707,0.003042423,0.9428517,0.004105235,0.000130904,0.0494264],"study_design_scores_gemma":[0.0006551796,0.00004381376,0.00003175941,0.0001664595,0.00001112117,0.0000166702,0.00003076801,0.00003912086,0.936325,0.01676,0.04555903,0.0003611146],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5681203,0.0005640808,0.420664,0.001265748,0.002924913,0.001845676,0.0009903644,0.002968438,0.0006565023],"genre_scores_gemma":[0.9489325,0.0002873038,0.04882464,0.0002871976,0.0006278045,0.0003957078,0.00008604267,0.0001494634,0.0004092997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3808122,"threshold_uncertainty_score":0.9537934,"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."}}