{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002213333,0.0001120745,0.0001122587,0.00003824688,0.00007097697,0.00001112327,0.0001180223,0.0001505901,0.000003064816],"category_scores_gemma":[0.00003384841,0.00008642553,0.0000194169,0.0001065079,0.00004340404,0.000007421967,0.00001707403,0.000234005,3.158552e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006649625,"about_ca_system_score_gemma":0.00001952361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003362128,"about_ca_topic_score_gemma":0.0002432124,"domain_scores_codex":[0.9993541,0.00002869428,0.0002057365,0.0001715405,0.00006820432,0.0001717355],"domain_scores_gemma":[0.9997386,0.00001010118,0.00004873376,0.0001639602,0.00001544983,0.00002316306],"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":[0.00006211513,0.00001270224,0.000288402,0.00003175387,0.000006677195,0.000001592629,0.0002372352,0.04009002,0.9591841,0.00004088652,0.0000137484,0.00003078492],"study_design_scores_gemma":[0.0004472419,0.00004143003,0.006602067,0.00001885218,0.000007118711,0.00002289191,0.00001011828,0.001942705,0.9894177,0.00001795705,0.001367023,0.0001049272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987345,0.0001306263,0.0004034584,0.0002575797,0.0002177232,0.0002186017,0.00001364606,0.000009561132,0.00001432642],"genre_scores_gemma":[0.9995692,0.000006428621,0.00007203458,0.00002462759,0.0001837331,0.00001852252,0.00002406647,0.00001359415,0.00008783101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03814731,"threshold_uncertainty_score":0.3524331,"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."}}