{"id":"W3121836783","doi":"10.1038/s41467-021-20903-3","title":"Murine liver repair via transient activation of regenerative pathways in hepatocytes using lipid nanoparticle-complexed nucleoside-modified mRNA","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Liver physiology and pathology","field":"Medicine","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acuitas Therapeutics (Canada)","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; March of Dimes Foundation; National Institutes of Health; Alpha-1 Foundation","keywords":"Hepatocyte; Liver regeneration; Hepatocyte growth factor; Messenger RNA; Liver injury; Cell biology; Regeneration (biology); Biology; Chemistry; Molecular biology; In vitro; Pharmacology; Biochemistry; Receptor; Gene","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":[0.0001917687,0.0001262558,0.0003276393,0.0001090268,0.0001440028,0.000003609692,0.0002021082,0.0002882473,0.00004367777],"category_scores_gemma":[0.0001921057,0.0001219665,0.0001175114,0.0004223046,0.0002013396,0.000102716,0.0001379671,0.0007297647,0.000004482485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008077342,"about_ca_system_score_gemma":0.000164728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009139886,"about_ca_topic_score_gemma":0.0003239968,"domain_scores_codex":[0.9986903,0.0004414766,0.0003568241,0.0002325602,0.0001140146,0.0001648016],"domain_scores_gemma":[0.9979977,0.0003038923,0.0001288093,0.001180988,0.0003353546,0.00005323619],"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":[0.0001666509,0.0006817597,0.007464525,0.00004237765,0.00007132265,0.00001857441,0.002334436,0.0001223116,0.9808573,0.007707729,0.0000890371,0.0004439349],"study_design_scores_gemma":[0.001904795,0.0002058597,0.1960194,0.0002317397,0.0001482175,0.0001084449,0.0003630689,0.03633231,0.7629492,0.000579278,0.0009465216,0.0002112092],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953782,0.002176289,0.0001535324,0.001014726,0.00007985819,0.0003072745,0.00001804602,0.00005639566,0.0008156586],"genre_scores_gemma":[0.984662,0.0002809514,0.01420446,0.000563578,0.00004690438,0.00002490467,0.000179989,0.00001446971,0.00002276316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2179081,"threshold_uncertainty_score":0.4973648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06944267484291008,"score_gpt":0.3171734213463646,"score_spread":0.2477307465034545,"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."}}