{"id":"W3125940480","doi":"10.1007/s12195-020-00664-7","title":"Engineered Aptamers for Enhanced COVID-19 Theranostics","year":2021,"lang":"en","type":"review","venue":"Cellular and Molecular Bioengineering","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Aptamer; Repurposing; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Biosafety; 2019-20 coronavirus outbreak; Pandemic; Computer science; Risk analysis (engineering); Medicine; Infectious disease (medical specialty); Biology; Virology; Biotechnology; Disease","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003549913,0.0008188608,0.0006039226,0.0006438859,0.000121241,0.0005698055,0.0005245993,0.0007624036,0.002066216],"category_scores_gemma":[0.0002938324,0.000258858,0.0002495105,0.0006523128,0.0002469443,0.0005291901,0.0005711613,0.001281863,0.001525676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006526675,"about_ca_system_score_gemma":0.0003722211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006392039,"about_ca_topic_score_gemma":0.001147438,"domain_scores_codex":[0.9998695,0.00001411139,0.000007854394,0.00002443583,0.00005598973,0.000028028],"domain_scores_gemma":[0.9999564,0.00001663197,0.000008583012,0.000002257068,0.00001133769,0.000004849994],"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":[0.0001320669,0.0001948605,0.0001018395,0.004987303,0.00006442605,0.0003188849,0.00005497938,0.001046777,0.07601552,0.01189155,0.02208579,0.883106],"study_design_scores_gemma":[0.00004696488,0.0002074066,0.0004259971,0.0007586496,0.0000691576,0.0008124317,0.00002630183,0.0008303154,0.05888743,0.002278315,0.9356203,0.0000366522],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003928256,0.9803713,0.005232913,0.000542418,0.0008213018,0.00004855225,0.000126605,0.00008584482,0.008842804],"genre_scores_gemma":[0.02504502,0.9454678,0.005095369,0.001062458,0.0002624784,0.0001048799,0.0003365727,0.00002826727,0.02259721],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002066216,"threshold_uncertainty_score":0.006912231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01889588062098158,"score_gpt":0.3043286922210929,"score_spread":0.2854328116001114,"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."}}