{"id":"W3133625359","doi":"10.3389/fvets.2020.564791","title":"An Integrated Molecular Approach to Untangling Host–Vector–Pathogen Interactions in Mosquitoes (Diptera: Culicidae) From Sylvan Communities in Mexico","year":2021,"lang":"en","type":"article","venue":"Frontiers in Veterinary Science","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Canada First Research Excellence Fund; Department for Environment, Food and Rural Affairs, UK Government; Scottish Government; Consejo Nacional de Ciencia y Tecnología; Secretaría de Educación Pública; Horizon 2020 Framework Programme; Clemson University","keywords":"Biology; DNA barcoding; Aedes albopictus; Vector (molecular biology); Zoology; Aedes; Arbovirus; Blood meal; Chikungunya; Host (biology); Outbreak; Dengue virus; Virology; Virus; Dengue fever; Aedes aegypti; Anopheles; DNA sequencing; Ecology; Gene; Genetics; Larva; Malaria","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":[0.0004052714,0.0003388035,0.0003100392,0.001802632,0.0006059275,0.0005274668,0.0003007583,0.0003388878,0.0004030915],"category_scores_gemma":[0.0003565807,0.0002353013,0.0003143481,0.0008254868,0.0002178982,0.0002723072,0.0004919591,0.0003524636,0.0001037455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000443649,"about_ca_system_score_gemma":0.0004867318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01588151,"about_ca_topic_score_gemma":0.04838508,"domain_scores_codex":[0.9997191,0.00003057134,0.00002133792,0.0001290925,0.00005838687,0.0000414673],"domain_scores_gemma":[0.9997347,0.00003058261,0.0001183046,0.00001590987,0.00007252312,0.00002787969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002483646,0.0001792559,0.5506234,0.0002988371,0.0001960573,0.0003538735,0.002048776,0.0004214149,0.4011524,0.0002049907,0.0004138088,0.04385879],"study_design_scores_gemma":[0.0000083232,0.0002007934,0.9874922,0.00003976324,0.0001388969,0.0002210343,0.001191009,0.0014568,0.006410755,0.00004363878,0.002784695,0.00001205378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926602,0.0005905481,0.003347764,0.00005568446,0.00001263502,0.0001307251,0.00199243,0.00004229895,0.001167692],"genre_scores_gemma":[0.9576863,0.001019432,0.03294124,0.0001362799,0.00002184013,0.0003180633,0.006689139,0.00001549489,0.001172243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01588151,"threshold_uncertainty_score":0.03157812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02187237777521143,"score_gpt":0.2974770043664883,"score_spread":0.2756046265912768,"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."}}