{"id":"W2796779053","doi":"10.1016/j.actbio.2018.04.021","title":"Enhanced wound healing of tissue-engineered human corneas through altered phosphorylation of the CREB and AKT signal transduction pathways","year":2018,"lang":"en","type":"article","venue":"Acta Biomaterialia","topic":"Corneal Surgery and Treatments","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research; Debreceni Egyetem; Fonds de Recherche du Québec - Santé; Fondation des pompiers du Québec pour les grands brûlés","keywords":"CREB; Signal transduction; Phosphorylation; Wound healing; Protein kinase B; Cell biology; Materials science; Cancer research; Transduction (biophysics); Biomedical engineering; Medicine; Biology; Biophysics; Immunology; Biochemistry; Transcription factor; Gene","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":[0.0001037956,0.0001265646,0.000266846,0.00003316138,0.0001009002,0.0000123562,0.00004734961,0.00008351998,0.0003680465],"category_scores_gemma":[0.0000174477,0.00009188773,0.00005079028,0.0001374409,0.0001769731,0.0001061309,0.00001775756,0.00002623175,0.00000260277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002588252,"about_ca_system_score_gemma":0.00002599937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003318439,"about_ca_topic_score_gemma":0.00001303937,"domain_scores_codex":[0.9991733,0.00004479864,0.0003246067,0.0001774842,0.0001442634,0.0001355368],"domain_scores_gemma":[0.999477,0.00002209398,0.0001635819,0.0002102737,0.00008841452,0.00003861169],"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":[0.000377631,0.0001047717,0.0004924023,0.0001213061,0.00006932286,9.856502e-7,0.00131208,1.865822e-7,0.9964111,0.0001126558,0.000057947,0.0009396275],"study_design_scores_gemma":[0.0008300804,0.0004851802,0.03165222,0.0001496275,0.0001097213,0.00001203798,0.00004655145,0.00001186932,0.9660919,0.0003041264,0.0002337145,0.00007293489],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998094,0.00006422561,0.0002283088,0.00008335941,0.001017418,0.000310263,0.00005243968,0.00002822119,0.0001217959],"genre_scores_gemma":[0.9994896,0.00001050355,0.0001485733,0.00001557895,0.0002078137,0.000007567257,0.00005476759,0.00001472744,0.00005084749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03115982,"threshold_uncertainty_score":0.4029851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0321388427641633,"score_gpt":0.2785217375345344,"score_spread":0.2463828947703711,"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."}}