{"id":"W3146347171","doi":"10.1093/jme/tjab046","title":"Mosquito Identification From Bulk Samples Using DNA Metabarcoding: a Protocol to Support Mosquito-Borne Disease Surveillance in Canada","year":2021,"lang":"en","type":"article","venue":"Journal of Medical Entomology","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of New Brunswick; Environment and Climate Change Canada; Fisheries and Oceans Canada; Canadian Food Inspection Agency; Public Health Agency of Canada","funders":"","keywords":"Biology; Aedes albopictus; Aedes; Wolbachia; Cytochrome c oxidase subunit I; DNA sequencing; Arbovirus; Culex; Vector (molecular biology); Chikungunya; Aedes vexans; West Nile virus; Mosquito control; GenBank; Anopheles; Zoology; Virology; Aedes aegypti; Mitochondrial DNA; Ecology; Malaria; Dengue fever; Virus; Larva; Genetics; DNA; Gene; Host (biology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008166176,0.0001532205,0.0003716006,0.00005688426,0.00007850143,0.00002165283,0.0005508854,0.00007662505,0.00499446],"category_scores_gemma":[0.0009703705,0.0001417264,0.00007553988,0.0002711009,0.0001804812,0.0001257466,0.0006535008,0.0002749108,0.00004778504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001432648,"about_ca_system_score_gemma":0.000365773,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2487589,"about_ca_topic_score_gemma":0.3456038,"domain_scores_codex":[0.9968637,0.0002454227,0.0006769729,0.0003457515,0.001522423,0.0003457011],"domain_scores_gemma":[0.9987044,0.0001858377,0.0002956159,0.0002315861,0.00002028051,0.0005623184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001016858,0.0001744453,0.9796198,0.00001584568,0.00004758373,0.00218647,0.0002134089,0.0009163365,0.01115346,0.00001441802,0.0034634,0.002093147],"study_design_scores_gemma":[0.0008618971,0.00005938652,0.9877676,0.00003969642,0.00002785515,0.00008755975,0.0003172571,0.0002954203,0.003251325,0.00015791,0.006972923,0.0001612119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913607,0.00004146679,0.0003137027,0.005812834,0.0004425812,0.00191792,0.00005918333,0.000004254181,0.00004740694],"genre_scores_gemma":[0.9967011,0.00003263941,0.001819931,0.001017433,0.0001066073,0.0002497499,0.00001024252,0.00000973293,0.0000525449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0968449,"threshold_uncertainty_score":0.9959151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0336063067069807,"score_gpt":0.2911940002089913,"score_spread":0.2575876935020106,"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."}}