{"id":"W2516189380","doi":"10.1016/j.idm.2016.08.001","title":"Some models for epidemics of vector-transmitted diseases","year":2016,"lang":"en","type":"preprint","venue":"Infectious Disease Modelling","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Security Agency; Arizona State University; National Science Foundation","keywords":"Zika virus; Chikungunya; Outbreak; Dengue fever; Transmission (telecommunications); Basic reproduction number; Virology; Sexual transmission; Microcephaly; Vector (molecular biology); Yellow fever; Aedes; Biology; Virus; Environmental health; Medicine; Computer science; Pediatrics; Telecommunications; Population","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":[0.001142658,0.001468862,0.0009198108,0.001169135,0.0008141486,0.001675952,0.001846534,0.002165896,0.007845175],"category_scores_gemma":[0.004111979,0.0004394978,0.001818821,0.001283964,0.001064964,0.002726998,0.001097233,0.002687516,0.001500794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600706,"about_ca_system_score_gemma":0.0007100645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00574794,"about_ca_topic_score_gemma":0.003778991,"domain_scores_codex":[0.999378,0.0002540723,0.00004973733,0.0001066719,0.0001273286,0.00008420782],"domain_scores_gemma":[0.9984603,0.0009509368,0.0002622151,0.0000994983,0.0001442017,0.00008281615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003218858,0.00005286537,0.001069814,0.0001661064,0.00005579949,0.0003450498,0.0003047333,0.2076159,0.0007681955,0.7722585,0.008670338,0.008660628],"study_design_scores_gemma":[0.00003898074,0.00004424077,0.0005253018,0.00003965865,0.00002747515,0.00026046,0.00006364739,0.5341957,0.0001749134,0.441012,0.02359225,0.00002535393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04698616,0.008413898,0.8494784,0.01254628,0.0007280569,0.000239925,0.004047323,0.0004695559,0.07709049],"genre_scores_gemma":[0.7474869,0.01457734,0.1378214,0.001835195,0.001989482,0.001004003,0.003482547,0.0002853346,0.09151769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007845175,"threshold_uncertainty_score":0.0262447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2259523225784359,"score_gpt":0.3914291209170617,"score_spread":0.1654767983386258,"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."}}