{"id":"W4386857136","doi":"10.1097/hep.0000000000000606","title":"RNA nanomedicine in liver diseases","year":2023,"lang":"en","type":"review","venue":"Hepatology","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; Toronto General Hospital; University Health Network","funders":"","keywords":"Nanomedicine; Nanocarriers; RNA; Medicine; Liver disease; Expansive; Personalized medicine; Disease; Bioinformatics; Computational biology; Cancer research; Biology; Pharmacology; Pathology; Internal medicine; Nanotechnology; Gene; Genetics","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":[0.0000623129,0.0002375619,0.0007487027,0.0001795104,0.00002333345,0.000006263507,0.0001921038,0.0003596273,0.0001068661],"category_scores_gemma":[0.0001364572,0.0002000018,0.0002498977,0.0002024672,0.0000959434,0.000001105689,0.0001245382,0.00009856747,0.0003040509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002414743,"about_ca_system_score_gemma":0.0003110199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001883622,"about_ca_topic_score_gemma":0.00006322036,"domain_scores_codex":[0.9987366,0.0001542723,0.0003631055,0.0004179775,0.00007907234,0.0002490229],"domain_scores_gemma":[0.9993139,0.00003264175,0.0001251144,0.0003716513,0.00002283053,0.0001338928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004032722,0.0001455644,0.003622344,0.008842807,0.0001724407,0.0006081613,0.000008387197,8.530565e-7,0.00001191881,0.0004525906,0.02948228,0.9566123],"study_design_scores_gemma":[0.0002372304,0.00004056036,0.0002057817,0.0005242602,0.0001278873,0.00003540307,0.000002727941,0.00001793628,9.841947e-7,0.00003174584,0.9985749,0.0002006372],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002501278,0.998475,0.00001065701,0.00003454149,0.0002740745,0.0002914969,0.0000714694,0.00002629706,0.0005663671],"genre_scores_gemma":[0.0004912783,0.9956316,0.00001134243,0.0001765013,0.0002513108,0.0001101851,0.001147025,0.00004648634,0.002134228],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9690925,"threshold_uncertainty_score":0.8155837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04548264939536215,"score_gpt":0.3383183711240728,"score_spread":0.2928357217287106,"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."}}