{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003061981,0.001325217,0.001129258,0.004355915,0.004521831,0.001506791,0.002106698,0.0008929567,0.007029726],"category_scores_gemma":[0.003909028,0.0009714762,0.0009927517,0.004213341,0.001193082,0.0005780432,0.001723073,0.001356979,0.003852371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006184096,"about_ca_system_score_gemma":0.02421558,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5534922,"about_ca_topic_score_gemma":0.8129876,"domain_scores_codex":[0.9963812,0.0003097885,0.0003123006,0.000690843,0.001814859,0.0004911085],"domain_scores_gemma":[0.9970121,0.0001588348,0.0002320155,0.0002219374,0.00215854,0.000216586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00183489,0.0006158921,0.05352892,0.001964288,0.0002858964,0.002276466,0.00489322,0.003885646,0.6619706,0.004221642,0.05161384,0.2129087],"study_design_scores_gemma":[0.0004761777,0.001109793,0.2248051,0.001013056,0.0003624532,0.002115947,0.00217206,0.02984826,0.2876989,0.001588268,0.4480934,0.0007165074],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.2224361,0.003079657,0.5930042,0.001645565,0.0005099805,0.03991103,0.08568454,0.01088787,0.04284108],"genre_scores_gemma":[0.08398698,0.002469943,0.8171163,0.001453841,0.00005136941,0.01648923,0.04961678,0.001013255,0.02780232],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.4465078,"threshold_uncertainty_score":0.8982748,"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."}}