{"id":"W2531536180","doi":"10.1007/s11538-016-0208-7","title":"Modeling the Effects of Augmentation Strategies on the Control of Dengue Fever With an Impulsive Differential Equation","year":2016,"lang":"en","type":"article","venue":"Bulletin of Mathematical Biology","topic":"Insect symbiosis and bacterial influences","field":"Agricultural and Biological Sciences","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities; Canadian Institutes of Health Research; National Natural Science Foundation of China","keywords":"Wolbachia; Dengue fever; Cytoplasmic incompatibility; Biology; Aedes aegypti; Population; Transmission (telecommunications); Vector (molecular biology); Virology; Computer science; Ecology; Environmental health; Medicine; Genetics; Host (biology)","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":[0.0008712552,0.0007617348,0.0009577249,0.0005034049,0.0004595065,0.001096036,0.0009430018,0.001781087,0.002251948],"category_scores_gemma":[0.002633574,0.0005014409,0.0007655428,0.0002694591,0.001045637,0.0007451948,0.001254899,0.001011111,0.0001255105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007552437,"about_ca_system_score_gemma":0.0007419618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01296004,"about_ca_topic_score_gemma":0.005746167,"domain_scores_codex":[0.9997674,0.00007154874,0.00001245634,0.00004699016,0.00003788642,0.00006372215],"domain_scores_gemma":[0.9985921,0.0008719348,0.0002537142,0.00003226549,0.0001638405,0.00008626381],"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":[0.00005081687,0.0000269235,0.000581278,0.00002460514,0.00002478696,0.00007956782,0.00003962154,0.9919732,0.001388287,0.004487191,0.00007509409,0.001248784],"study_design_scores_gemma":[0.000006082061,0.00002291636,0.00009505047,0.000001806523,0.00001052788,0.000004717577,0.000005791181,0.9992519,0.00008132626,0.0004742319,0.00004216315,0.000003491901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5854138,0.000752045,0.3954592,0.001067005,0.0002331861,0.00008872184,0.0001455339,0.0002238424,0.01661673],"genre_scores_gemma":[0.9944459,0.0001197895,0.002336969,0.0000331661,0.00001373961,0.00003276358,0.00001456226,0.000007049857,0.002996009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01296004,"threshold_uncertainty_score":0.02576923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675900760970506,"score_gpt":0.226349916533538,"score_spread":0.2095909089238329,"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."}}