{"id":"W4396622858","doi":"10.1016/j.ymthe.2024.04.035","title":"mRNA-based therapeutic strategies for cancer treatment","year":2024,"lang":"en","type":"review","venue":"Molecular Therapy","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Terry Fox Research Institute; Spinal Cord Injury BC; University of British Columbia","funders":"Stem Cell Network; Natural Sciences and Engineering Research Council of Canada; Japan Agency for Medical Research and Development; National Cancer Institute; Indiana University; Canadian Institutes of Health Research; Leukemia and Lymphoma Society; Leukemia and Lymphoma Society of Canada; American Society of Hematology","keywords":"Computational biology; Personalized medicine; RNA; Pandemic; Coronavirus disease 2019 (COVID-19); Bioinformatics; Biology; Medicine; Gene; Disease; Infectious disease (medical specialty); Genetics; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007241887,0.0005996382,0.0007581481,0.0001022228,0.00005488333,0.0001300747,0.0003322999,0.0004049254,0.00003749499],"category_scores_gemma":[0.000002163992,0.0004105899,0.001150127,0.0001075283,0.0000533165,0.000002374036,0.00002432236,0.0001049131,0.00004643586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006787156,"about_ca_system_score_gemma":0.0009492219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003695828,"about_ca_topic_score_gemma":0.00002574477,"domain_scores_codex":[0.998461,0.00009111502,0.0003200866,0.0006784827,0.0001119314,0.0003373714],"domain_scores_gemma":[0.9991665,0.000012955,0.0001195297,0.0005676455,0.00006988655,0.00006341316],"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":[0.00005538377,0.00007956391,3.150226e-7,0.001221587,0.001459322,0.00001480856,0.00001669891,0.00002598868,0.007005387,0.0001155609,0.000753148,0.9892522],"study_design_scores_gemma":[0.0003782664,0.001061444,1.169092e-7,0.000918237,0.0006549494,0.000005902167,0.00001264049,0.00001653584,0.009055432,0.0001789787,0.9872659,0.0004515425],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002760823,0.9950707,0.002592081,0.00005708201,0.0004227918,0.001166131,0.0002286106,0.00003174571,0.0001547807],"genre_scores_gemma":[0.0004265099,0.994582,0.0001052218,0.0004732166,0.0003363668,0.002016519,0.0007056873,0.0001460187,0.00120847],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9888007,"threshold_uncertainty_score":0.9998346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07117930140212825,"score_gpt":0.3842203087791878,"score_spread":0.3130410073770596,"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."}}