{"id":"W3167263937","doi":"10.3390/v13061141","title":"Modeling within-Host SARS-CoV-2 Infection Dynamics and Potential Treatments","year":2021,"lang":"en","type":"article","venue":"Viruses","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Virus; Cytokine storm; Immune system; Immunology; Effector; Innate immune system; In silico; Virology; Acquired immune system; Biology; Immunity; Medicine; Coronavirus disease 2019 (COVID-19); Computational biology; 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":[],"consensus_categories":[],"category_scores_codex":[0.00009557645,0.0001401497,0.0002040559,0.0001208533,0.0001166523,0.00006787988,0.00003588793,0.0001019387,0.000006934692],"category_scores_gemma":[0.0001305032,0.0001237752,0.00006329278,0.0002183098,0.00003981204,0.0001499654,0.00007400104,0.0001688892,0.00007031571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001332919,"about_ca_system_score_gemma":0.0001912499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001446314,"about_ca_topic_score_gemma":0.0004785313,"domain_scores_codex":[0.9989848,0.00004024511,0.0001836803,0.0002987226,0.0002715926,0.0002209734],"domain_scores_gemma":[0.9995626,0.0000269478,0.00002847127,0.0002266768,0.000128435,0.00002683085],"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":[0.0002641701,0.0002793986,0.08177625,0.00008484181,0.0001967773,0.0003475395,0.0001822629,0.00003380636,0.9129592,0.0002526803,0.00005006171,0.003573037],"study_design_scores_gemma":[0.001760959,0.0002380617,0.002608978,0.0001028669,0.0001783048,0.000222435,0.0001137523,0.1662912,0.8262643,0.0002008829,0.00183983,0.0001783555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960011,0.0003759321,0.002296115,0.00008681644,0.0001969676,0.0001634248,0.00001709553,0.000084683,0.0007778317],"genre_scores_gemma":[0.9822807,0.00004903776,0.0002705823,0.01718081,0.0001362945,0.00001584845,0.00001064312,0.00002870621,0.00002738461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1662574,"threshold_uncertainty_score":0.5047407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06028873816725928,"score_gpt":0.3623686868554077,"score_spread":0.3020799486881485,"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."}}