{"id":"W2955275274","doi":"10.1016/j.jid.2019.04.030","title":"Cutaneous Wound Healing in Diabetic Mice Is Improved by Topical Mineralocorticoid Receptor Blockade","year":2019,"lang":"en","type":"article","venue":"Journal of Investigative Dermatology","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Société d'Accélération du Transfert de Technologies; University of Toronto; Fondation pour la Recherche Médicale; Institut National de la Santé et de la Recherche Médicale; Agence Nationale de la Recherche","keywords":"Macrophage polarization; Wound healing; Inflammation; Medicine; Angiogenesis; Mineralocorticoid receptor; Proinflammatory cytokine; Blockade; Downregulation and upregulation; Endocrinology; Macrophage; Receptor; Pharmacology; Internal medicine; Immunology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003624067,0.0009962826,0.0007026926,0.0008649601,0.0003177944,0.0006486928,0.0003775958,0.0006820406,0.003579137],"category_scores_gemma":[0.0002017317,0.000383582,0.0006728811,0.00036819,0.0004960893,0.0004735696,0.0002351827,0.002462427,0.0006232306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002883902,"about_ca_system_score_gemma":0.0003954342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007671386,"about_ca_topic_score_gemma":0.0009582288,"domain_scores_codex":[0.9995645,0.00006774028,0.00005675674,0.00008900743,0.0001002236,0.0001218273],"domain_scores_gemma":[0.9994265,0.00003474739,0.0002019078,0.00005661884,0.00003509889,0.0002450771],"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":[0.002207329,0.0003336602,0.0002299965,0.0000691723,0.00001670797,0.0001015938,0.0000158337,0.00005186134,0.994942,0.00009730728,0.0001305515,0.001803926],"study_design_scores_gemma":[0.0004346021,0.002634489,0.007747429,0.00003391595,0.0001401977,0.000674477,0.0001850276,0.001049678,0.9829296,0.0001915406,0.003952364,0.00002669619],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888456,0.003066665,0.002574944,0.0007027023,0.000352598,0.00004853897,0.001236081,0.0003921765,0.002780712],"genre_scores_gemma":[0.9872237,0.002173286,0.002512769,0.0003208888,0.00006707421,0.0001060414,0.0007561588,0.00009354852,0.006746455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003579137,"threshold_uncertainty_score":0.01197344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01442793348935207,"score_gpt":0.2733973564955298,"score_spread":0.2589694230061778,"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."}}