{"id":"W2047428685","doi":"10.1016/j.jmaa.2015.01.032","title":"Analysis of a within-host age-structured model with mutations between two viral strains","year":2015,"lang":"en","type":"article","venue":"Journal of Mathematical Analysis and Applications","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mutation; Ode; Host (biology); Competitive exclusion; Mathematics; Mutation rate; Genetics; Biology; Applied mathematics; Gene; Ecology","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":[0.0009939689,0.000149274,0.001471548,0.0005063603,0.00006914022,0.0000122705,0.0001181119,0.0001105675,0.00009219188],"category_scores_gemma":[0.0002755726,0.00008666065,0.0004322942,0.001200233,0.0005237571,0.0000608405,0.00002898527,0.0002574773,0.00000298116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001709148,"about_ca_system_score_gemma":0.00008633648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003667876,"about_ca_topic_score_gemma":0.00001419312,"domain_scores_codex":[0.998259,0.00006980501,0.001046507,0.000174157,0.0002871087,0.0001633908],"domain_scores_gemma":[0.9979679,0.0004619643,0.0005487775,0.0002524479,0.0003606438,0.0004082633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000123452,0.000663746,0.01516875,0.000101786,0.02086759,0.00001407203,0.0009605298,0.02766388,0.000292454,0.9337859,0.00002550538,0.0003323677],"study_design_scores_gemma":[0.0009027043,0.0002721762,0.009382844,0.00002744161,0.06003533,0.00004114991,0.0003236397,0.451128,0.0001000362,0.4776519,0.000009432544,0.00012533],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3354504,0.00003523305,0.6625164,0.0007671735,0.00000194925,0.0001276439,0.00002357926,0.000006804813,0.001070746],"genre_scores_gemma":[0.9482632,0.000006062814,0.05141089,0.0001283535,0.00004237367,0.00001736212,0.00002651969,0.000007159681,0.00009806303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6128128,"threshold_uncertainty_score":0.3533919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04086149718334162,"score_gpt":0.3350410867230831,"score_spread":0.2941795895397414,"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."}}