{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004212728,0.0006079163,0.0007053629,0.001247068,0.0002946752,0.0008808135,0.0004351068,0.001106873,0.004784799],"category_scores_gemma":[0.0004476586,0.0002280787,0.0003556888,0.0008601676,0.0004550942,0.0009075621,0.0006582908,0.001606211,0.002815446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004393102,"about_ca_system_score_gemma":0.0006342204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004867952,"about_ca_topic_score_gemma":0.0008333959,"domain_scores_codex":[0.9998451,0.00003186306,0.00001585343,0.00002457386,0.00006319892,0.00001942374],"domain_scores_gemma":[0.9998141,0.00009917174,0.00002265815,0.000007397981,0.00004133096,0.0000153972],"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":[0.0000549569,0.00006099068,0.0001174691,0.01040316,0.00004506384,0.000305461,0.0000889838,0.0005320473,0.009474504,0.01026198,0.02756663,0.9410887],"study_design_scores_gemma":[0.000006502023,0.0000725435,0.0002518,0.0009889033,0.00002810033,0.001095258,0.00002880083,0.0001187416,0.002028845,0.002550974,0.9928175,0.00001195872],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003313489,0.994742,0.0005674409,0.0004521373,0.0005116087,0.00000810008,0.00002098057,0.00002348055,0.00334284],"genre_scores_gemma":[0.002672286,0.9934551,0.0005015155,0.000359628,0.000335739,0.00001382307,0.00004018459,0.00000545781,0.002616194],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004784799,"threshold_uncertainty_score":0.01600671,"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."}}