{"id":"W4414121550","doi":"10.1172/jci169395","title":"Targeting peroxiredoxin 2 prevents hepatocarcinogenesis in metabolic liver disease models","year":2025,"lang":"en","type":"article","venue":"Journal of Clinical Investigation","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; Japan Society for the Promotion of Science; Horizon 2020 Framework Programme; Institute of Genetics; National Institutes of Health; Institut Universitaire de France; Centre National de la Recherche Scientifique; Agence Nationale de Recherches sur le Sida et les Hépatites Virales; Fondation ARC pour la Recherche sur le Cancer; Agence Nationale de la Recherche; National Institute of Allergy and Infectious Diseases; Cancer Prevention and Research Institute of Texas; Universität Heidelberg; European Commission; Japan Agency for Medical Research and Development; Université de Strasbourg; Institut National de la Santé et de la Recherche Médicale; Deutsche Forschungsgemeinschaft; Universität Basel; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Hepatocellular carcinoma; Steatohepatitis; Liver cancer; Fatty liver; Transcriptome; Liver disease; AMPK; Cancer","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":[0.0003583154,0.0003608165,0.0004888922,0.0002413241,0.0001447942,0.0003003966,0.0002131461,0.0002153924,0.0008944231],"category_scores_gemma":[0.0001747218,0.0001422877,0.0003706513,0.000139251,0.0001713896,0.00016595,0.0003076172,0.0005787982,0.0001008659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001880216,"about_ca_system_score_gemma":0.0002773743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004011985,"about_ca_topic_score_gemma":0.0009942562,"domain_scores_codex":[0.9998719,0.00002922736,0.00001181075,0.00003219434,0.00002471224,0.0000302794],"domain_scores_gemma":[0.9999081,0.00001359835,0.00002933974,0.00001205691,0.000007378665,0.00002951072],"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":[0.001878436,0.0004972449,0.002376784,0.0001180704,0.00006665511,0.00008212765,0.00002204525,0.00133953,0.9859532,0.000257905,0.0001890312,0.007219034],"study_design_scores_gemma":[0.0002455862,0.005125749,0.01181554,0.00001605884,0.0001577565,0.000290321,0.00006212111,0.02046485,0.9581218,0.0003374541,0.003345781,0.00001710347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903651,0.0007216724,0.007550897,0.0001303009,0.0000417532,0.00005210074,0.0004160045,0.0002273218,0.0004948879],"genre_scores_gemma":[0.992717,0.0005108078,0.004952898,0.00005323602,0.000005900093,0.00006687566,0.0007939951,0.00002384398,0.0008754006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008944231,"threshold_uncertainty_score":0.002992153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08694456766440774,"score_gpt":0.3760147246242648,"score_spread":0.2890701569598571,"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."}}