{"id":"W2169390925","doi":"10.1089/ten.tea.2010.0030","title":"Restoration of the Transepithelial Potential Within Tissue-Engineered Human Skin <i>In Vitro</i> and During the Wound Healing Process <i>In Vivo</i>","year":2010,"lang":"en","type":"article","venue":"Tissue Engineering Part A","topic":"Planarian Biology and Electrostimulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research; Hydro-Québec; Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Wound healing; Epidermis (zoology); In vivo; Human skin; Skin repair; Cell biology; Epithelium; Chemistry; Transepithelial potential difference; Regeneration (biology); Biomedical engineering; Pathology; Anatomy; Biology; Medicine; Surgery; Biochemistry; Membrane; Ion transporter","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002520218,0.0002203062,0.0001692527,0.0001222088,0.00008719306,0.0003555693,0.0001531616,0.0002705547,0.0004394199],"category_scores_gemma":[0.0001908852,0.0001278881,0.0002304832,0.0001086306,0.0001816953,0.0003259034,0.0001196644,0.0003578259,0.000174574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001152802,"about_ca_system_score_gemma":0.0001144157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003432882,"about_ca_topic_score_gemma":0.0002698232,"domain_scores_codex":[0.999863,0.00002875818,0.00001731632,0.00003420816,0.00003441309,0.00002226419],"domain_scores_gemma":[0.9998413,0.00003914822,0.00004298422,0.0000302032,0.00002443402,0.0000218424],"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":[0.00004875599,0.00001118778,0.0001394753,0.00002769605,0.00000306293,0.00004858694,0.00001630668,0.00007939884,0.9987971,0.00003757961,0.00000983347,0.0007810494],"study_design_scores_gemma":[0.000003375987,0.0002309489,0.002912392,0.000004584582,0.00001134239,0.0002444152,0.00004147408,0.0008427361,0.99472,0.00002246702,0.000962059,0.000004206347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877276,0.001912297,0.008810658,0.00004717911,0.00005049983,0.0000371111,0.0001541053,0.00006708982,0.001193458],"genre_scores_gemma":[0.9920002,0.0007625636,0.005884487,0.00003688011,0.000008471996,0.00003985546,0.0002126528,0.00001359505,0.001041224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004394199,"threshold_uncertainty_score":0.00146997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003410233260986991,"score_gpt":0.2172079008780245,"score_spread":0.2137976676170375,"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."}}