{"id":"W4213339523","doi":"10.1080/15476286.2022.2027150","title":"Innovative developments and emerging technologies in RNA therapeutics","year":2022,"lang":"en","type":"article","venue":"RNA Biology","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"RNA; Small interfering RNA; Computational biology; Biology; Oligonucleotide; Nucleic acid; RNA interference; Gene silencing; Ribozyme; microRNA; RNA silencing; RNA splicing; Drug development; Gene; Drug; Genetics; Pharmacology","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":[0.0001815948,0.0001147744,0.0001369106,0.0001455076,0.0001165913,0.000005020282,0.0001409518,0.0001058677,0.000001613046],"category_scores_gemma":[0.00003466795,0.0001021846,0.00001994063,0.0003763217,0.0001338109,0.000001776771,0.0003871863,0.0001569195,3.164811e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002603835,"about_ca_system_score_gemma":0.00003231338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007918393,"about_ca_topic_score_gemma":0.00001559266,"domain_scores_codex":[0.9992162,0.00006733379,0.000173052,0.0002987301,0.00004471805,0.0001999562],"domain_scores_gemma":[0.9997049,0.000009438721,0.00007839804,0.0001550535,0.00004207556,0.00001011616],"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":[0.00003053687,0.0000263247,0.01310062,0.00000194159,0.00004081782,0.000003196346,0.00003608183,0.000001904858,0.9067048,0.0003243456,0.00005920018,0.07967024],"study_design_scores_gemma":[0.0003469857,0.0003400087,0.002256592,0.000004902566,0.000007876658,0.00002288581,0.001115157,0.00003487771,0.9158299,0.001809013,0.07795237,0.0002794137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971007,0.0009347243,0.00062366,0.0005884891,0.00005143799,0.00009556641,0.00001350373,0.00006187154,0.0005300276],"genre_scores_gemma":[0.9946388,0.0005722217,0.004213966,0.0003576018,0.00001422294,0.00002461912,0.00007410646,0.000009114392,0.00009537482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07939082,"threshold_uncertainty_score":0.4166965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470922268279458,"score_gpt":0.2977276674237867,"score_spread":0.2830184447409921,"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."}}