{"id":"W3167182240","doi":"10.1038/s41467-021-23546-6","title":"Nucleoside-modified VEGFC mRNA induces organ-specific lymphatic growth and reverses experimental lymphedema","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Lymphatic System and Diseases","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acuitas Therapeutics (Canada)","funders":"National Heart, Lung, and Blood Institute; Magyar Tudományos Akadémia; Innovációs és Technológiai Minisztérium; National Research, Development and Innovation Office; Magyarország Kormánya; National Cancer Institute; National Institutes of Health; U.S. Department of Health and Human Services; National Institute of Allergy and Infectious Diseases; Semmelweis Egyetem; European Commission; Nemzeti Kutatási Fejlesztési és Innovációs Hivatal","keywords":"Lymphatic system; Lymphedema; Lymphangiogenesis; Nucleoside; Vascular endothelial growth factor C; Messenger RNA; Lymphatic Endothelium; Medicine; Cell biology; Biology; Internal medicine; Immunology; VEGF receptors; Vascular endothelial growth factor A; Vascular endothelial growth factor; Gene; Biochemistry; Cancer","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001037998,0.000192622,0.0003354714,0.00009782375,0.0003552946,0.0000846925,0.0003529702,0.0002450766,0.000120226],"category_scores_gemma":[0.0004199118,0.0001744728,0.00009707678,0.0004038565,0.0002086791,0.0001658215,0.0003235403,0.00006322664,0.0000408249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001198006,"about_ca_system_score_gemma":0.0003095136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002347588,"about_ca_topic_score_gemma":0.00001309163,"domain_scores_codex":[0.9986984,0.0001774878,0.0003297449,0.000305749,0.0002898555,0.0001987274],"domain_scores_gemma":[0.9975013,0.0003978865,0.0001094189,0.001554576,0.0002137046,0.0002230799],"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":[0.0003195659,0.005500812,0.102121,0.0007856178,0.0009557215,0.0003180013,0.007730059,0.000001101302,0.6566905,0.1732851,0.04732077,0.004971738],"study_design_scores_gemma":[0.01798964,0.0003864801,0.4279108,0.002370235,0.001252568,0.003074633,0.03139256,0.0002751566,0.4571666,0.002244687,0.05401907,0.0019175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8296055,0.1390161,0.00001337513,0.005555998,0.0002771656,0.0003982914,0.00002529278,0.0001535437,0.02495477],"genre_scores_gemma":[0.991863,0.002994662,0.002868804,0.001649747,0.0001212455,0.00005574691,0.0001572697,0.00003239949,0.000257112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3257898,"threshold_uncertainty_score":0.7114794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03432543051118386,"score_gpt":0.3163444790360442,"score_spread":0.2820190485248604,"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."}}