{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004234494,0.001253321,0.001868984,0.0007861977,0.004414766,0.004834149,0.002355641,0.08234476,0.005021474],"category_scores_gemma":[0.02026306,0.001342479,0.00148296,0.0006837223,0.003072544,0.003778796,0.002634455,0.04966731,0.004674922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004545658,"about_ca_system_score_gemma":0.003819966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004668115,"about_ca_topic_score_gemma":0.00779273,"domain_scores_codex":[0.996452,0.0008182534,0.0003796992,0.0005529525,0.00113435,0.0006628264],"domain_scores_gemma":[0.9940427,0.003509229,0.0005100885,0.0001435332,0.0008468415,0.0009476472],"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":[0.0001128592,0.00002386225,0.0002086433,0.00004688016,0.00002379653,0.0007204573,0.00008594168,0.00004738412,0.0002341794,0.002033925,0.9921153,0.00434666],"study_design_scores_gemma":[0.0003273537,0.0001324623,0.001028897,0.0002276268,0.00008294141,0.0009648891,0.0003300268,0.0004954153,0.0006979896,0.01024825,0.9853503,0.0001139614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002792361,0.002768021,0.0001212136,0.9649498,0.03061219,0.00001583169,0.00005258668,0.00002322869,0.001177836],"genre_scores_gemma":[0.001688973,0.0009843132,0.00009966804,0.9720395,0.02126865,0.000043107,0.00001949083,0.00001439713,0.003841956],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08234476,"threshold_uncertainty_score":0.03298122,"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."}}