{"id":"W3211874812","doi":"10.1038/s41598-021-02148-8","title":"Controlling long-term SARS-CoV-2 infections can slow viral evolution and reduce the risk of treatment failure","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fractal Systems (Canada)","funders":"National Science Foundation","keywords":"Viral evolution; Herd immunity; Biology; Population; Transmissibility (structural dynamics); Viral load; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Transmission (telecommunications); Evasion (ethics); Term (time); Natural selection; Immune system; Coronavirus disease 2019 (COVID-19); Virology; Immunology; Evolutionary biology; Disease; Virus; Genetics; Medicine; Vaccination; Gene; Infectious disease (medical specialty); Genome; Computer science","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":[0.001249473,0.0004456347,0.0005544537,0.0002159993,0.0002604619,0.000834541,0.000443194,0.0005473454,0.001610359],"category_scores_gemma":[0.002123752,0.0001519139,0.0005489293,0.0001484513,0.0003518203,0.0007099166,0.0004845776,0.000693313,0.0002347747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004916242,"about_ca_system_score_gemma":0.0008517989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001603597,"about_ca_topic_score_gemma":0.003517184,"domain_scores_codex":[0.9995683,0.0001945375,0.00002046935,0.0000618946,0.0000785942,0.00007613485],"domain_scores_gemma":[0.9991116,0.0003796299,0.0003418762,0.00005465898,0.00004082303,0.00007141389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000904625,0.001272624,0.09244837,0.0005749672,0.0007084642,0.000415648,0.0003759478,0.3946012,0.2876322,0.02444427,0.002131909,0.1944898],"study_design_scores_gemma":[0.0001475477,0.004739616,0.07569765,0.0001880928,0.0003539942,0.0008548151,0.0005896458,0.8305754,0.05047465,0.02153266,0.01471621,0.0001297436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8556015,0.006015721,0.1311124,0.001661883,0.0001029646,0.00006650282,0.0001863903,0.0002433122,0.005009392],"genre_scores_gemma":[0.9927775,0.00084439,0.00571442,0.00009401354,0.00002083335,0.00001986701,0.00005555597,0.00001282074,0.0004606903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001610359,"threshold_uncertainty_score":0.00660795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02966256495028901,"score_gpt":0.3290636239235946,"score_spread":0.2994010589733056,"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."}}