{"id":"W3194275796","doi":"10.1007/s40265-021-01581-3","title":"Reply to Zhang and Zhu “MicroRNA Mimics or Inhibitors as Antiviral Therapeutic Approaches Against COVID-19”","year":2021,"lang":"en","type":"letter","venue":"Drugs","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Coronavirus disease 2019 (COVID-19); Medicine; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Zhàng; microRNA; Pharmacotherapy; Virology; Pharmacology; Antiviral drug; Antiviral therapy; Drug; Virus; Internal medicine; Biology; Disease; Infectious disease (medical specialty)","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":[0.0001928661,0.000431059,0.000348115,0.000118469,0.0001294435,0.0001284596,0.0002630536,0.00072702,0.00002474315],"category_scores_gemma":[0.0001649425,0.0004044475,0.0001790494,0.0001706028,0.0001363293,0.000005723596,0.000302429,0.0003993422,0.00002239641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000094291,"about_ca_system_score_gemma":0.0005495087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003323815,"about_ca_topic_score_gemma":0.000008328951,"domain_scores_codex":[0.997841,0.0001867607,0.0003356166,0.0009836006,0.0002379418,0.0004150934],"domain_scores_gemma":[0.9987871,0.00003827769,0.000189195,0.0007329331,0.00007043507,0.0001820318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001194461,0.00003675861,0.00009755366,0.0003834136,0.0002230214,0.0001591599,0.0003356787,0.00001337898,0.168444,0.000005616102,0.8257914,0.004390555],"study_design_scores_gemma":[0.0003759314,0.0000732044,0.00004149937,0.00006475423,0.00007928383,0.00003912319,0.0001614187,0.00001405366,0.07250344,0.0000307712,0.9260985,0.0005180658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.4270895,0.007172476,0.0005304241,0.5603917,0.0008364819,0.00158773,0.0004173797,0.0001000765,0.001874273],"genre_scores_gemma":[0.06496683,0.0003284182,0.0005311902,0.922464,0.003186612,0.00007972038,0.004420758,0.0001435657,0.003878953],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3621226,"threshold_uncertainty_score":0.9998407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03243220776557968,"score_gpt":0.2682694803394137,"score_spread":0.235837272573834,"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."}}