{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004176614,0.0006353029,0.0009640355,0.0003846357,0.000450389,0.00102537,0.001000095,0.002037989,0.002851069],"category_scores_gemma":[0.001414932,0.0004647312,0.001113843,0.0003366703,0.0007086955,0.0009596285,0.0007246359,0.0009364835,0.0003343994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001255111,"about_ca_system_score_gemma":0.001776081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01698935,"about_ca_topic_score_gemma":0.007398772,"domain_scores_codex":[0.9998055,0.000063974,0.0000095197,0.0000389519,0.00003382605,0.00004821183],"domain_scores_gemma":[0.999496,0.0002761892,0.0000964561,0.00001917098,0.00007094865,0.00004120193],"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":[0.00001351054,0.0000145912,0.0003810646,0.00001304194,0.000008178476,0.00003290681,0.00001216093,0.9951935,0.0004282723,0.003308591,0.0001208384,0.0004732527],"study_design_scores_gemma":[0.000008426303,0.00001221826,0.00009192133,0.000002688089,0.000004371475,0.000008762487,0.000009220091,0.9985716,0.00007853784,0.0009077783,0.0003008155,0.000003607893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4348075,0.001413768,0.51565,0.003717464,0.0003540323,0.0003135524,0.001856237,0.0004558615,0.04143162],"genre_scores_gemma":[0.9461697,0.0008461958,0.03109042,0.00035757,0.00007460907,0.0004277324,0.0005236625,0.00009136335,0.0204188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01698935,"threshold_uncertainty_score":0.03378093,"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."}}