{"id":"W2765113447","doi":"10.3390/polym9110558","title":"A pH-Indicating Colorimetric Tough Hydrogel Patch towards Applications in a Substrate for Smart Wound Dressings","year":2017,"lang":"en","type":"article","venue":"Polymers","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Self-healing hydrogels; Swelling; Wound healing; pH indicator; Methacrylate; Copolymer; Chemistry; Biomedical engineering; Materials science; Chemical engineering; Composite material; Polymer chemistry; Polymer; Surgery; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0001829315,0.0001415752,0.0002658583,0.0001730758,0.0004894346,0.0000698263,0.0001424396,0.0000979168,0.00001980369],"category_scores_gemma":[0.0001138608,0.0001261877,0.00008757678,0.0001859493,0.00009414527,0.00007644787,0.00002517285,0.0001235807,0.00001988965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001360085,"about_ca_system_score_gemma":0.0002177265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004351045,"about_ca_topic_score_gemma":0.0002167914,"domain_scores_codex":[0.9989527,0.000009214197,0.000240246,0.0002893959,0.0001639744,0.0003444613],"domain_scores_gemma":[0.9990849,0.00008408139,0.0001990499,0.0004425499,0.00003839604,0.0001509569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002274898,0.0008010214,0.9093384,0.0002370616,0.0002213642,0.00003031194,0.00162323,8.971261e-7,0.00190456,0.0006548229,0.0002014055,0.08475945],"study_design_scores_gemma":[0.01143429,0.0005920525,0.9304182,0.0003619922,0.0005950168,0.00004494543,0.001057428,0.0005426189,0.04195104,0.001782112,0.01066455,0.0005557505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870507,0.0006676512,0.0001551822,0.001336791,0.00009644545,0.0008724871,0.00002595556,0.00005040908,0.009744407],"genre_scores_gemma":[0.9965661,0.0000299262,0.001082229,0.0001440932,0.0001086933,0.0004448216,0.00006084442,0.0000252645,0.001538045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0842037,"threshold_uncertainty_score":0.6577507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04707061915830359,"score_gpt":0.3546010103095454,"score_spread":0.3075303911512418,"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."}}