{"id":"W3173558711","doi":"10.1038/s41565-021-00937-w","title":"Author Correction: The current landscape of nucleic acid therapeutics","year":2021,"lang":"en","type":"article","venue":"Nature Nanotechnology","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Children's Hospital; iCo Therapeutics (Canada); University of British Columbia","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Huntington Society of Canada; Government of Canada; Fondation Brain Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Weston Brain Institute; Canadian Institutes of Health Research; NanoMedicines Innovation Network","keywords":"Nucleic acid; Current (fluid); Nanotechnology; Computational biology; Chemistry; Biology; Biochemistry; Materials science; Engineering; Electrical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00008130175,0.0001122879,0.0001297322,0.00004368975,0.00006252013,0.000008865253,0.000288639,0.0006172208,0.00003568808],"category_scores_gemma":[0.000094171,0.00008067599,0.00009806834,0.0002198897,0.0001110109,0.000001832928,0.0001401188,0.0005928101,0.00001201294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006031819,"about_ca_system_score_gemma":0.0001009523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.772839e-7,"about_ca_topic_score_gemma":0.00002956019,"domain_scores_codex":[0.9992877,0.00004488886,0.0001565097,0.0002519384,0.0000955135,0.0001634265],"domain_scores_gemma":[0.9991991,0.00001313192,0.00008068985,0.0004874831,0.0002030732,0.00001654217],"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":[0.0000461842,0.00006107103,0.0006914453,0.000008370193,0.00007267421,0.000003987484,0.00002805546,0.000006271266,0.8510276,0.0003810693,0.01857479,0.1290985],"study_design_scores_gemma":[0.0001335369,0.0001230595,0.0003611671,0.0000101398,0.00002125826,0.00004866072,0.00007930545,0.00005342896,0.714052,0.0002146899,0.2848283,0.00007454093],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9475368,0.04315,0.0008924405,0.004655967,0.002807393,0.0001103695,0.00001645641,0.00003762918,0.0007929341],"genre_scores_gemma":[0.9971379,0.001088475,0.00009221757,0.0005262696,0.0001628046,0.000008843518,0.0000413008,0.00001159748,0.00093057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2662535,"threshold_uncertainty_score":0.4760572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009765077938144446,"score_gpt":0.2735184796683424,"score_spread":0.2637534017301979,"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."}}