{"id":"W2804530867","doi":"10.1126/sciadv.aat0496","title":"Rapid, noninvasive detection of Zika virus in <i>Aedes aegypti</i> mosquitoes by near-infrared spectroscopy","year":2018,"lang":"en","type":"article","venue":"Science Advances","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Ministério da Ciência, Tecnologia, Inovações e Comunicações; Government of Canada; Ministerio de Economía y Competitividad; United States Agency for International Development; Grand Challenges Canada; U.S. Department of Agriculture","keywords":"Arbovirus; Zika virus; Aedes aegypti; Chikungunya; Virology; Aedes; Biology; Arbovirus Infections; Vector (molecular biology); Outbreak; Dengue fever; Virus; Ecology; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003109258,0.0001506075,0.0003041656,0.0001369367,0.0002097339,0.00005338125,0.0002679654,0.00004180887,0.0001295021],"category_scores_gemma":[0.0002652892,0.0001228629,0.00007418406,0.0009864289,0.001484694,0.0006451889,0.00004850213,0.0001016205,0.0000305443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008199679,"about_ca_system_score_gemma":0.0003069484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001216408,"about_ca_topic_score_gemma":0.000186273,"domain_scores_codex":[0.9982544,0.00002552946,0.0002935792,0.0004671642,0.0005206228,0.0004387326],"domain_scores_gemma":[0.9990621,0.00005299851,0.0001542074,0.000350814,0.0002156451,0.0001642307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003060552,0.0001072494,0.002503749,0.00002923257,0.000006272199,0.000006820352,0.0002363257,0.000006009494,0.9514524,0.00003571508,0.0001418482,0.04516828],"study_design_scores_gemma":[0.001022761,0.001099203,0.009258922,0.00009080529,0.00002920911,0.000007989695,0.0006642829,0.0004897654,0.976078,0.0005188462,0.01060114,0.0001390909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889352,0.005749347,0.0004552841,0.0001782939,0.0004110015,0.0003624765,0.00002424808,0.00004268965,0.003841435],"genre_scores_gemma":[0.9977925,0.0003406845,0.001035411,0.0003722436,0.0001723567,0.000030965,0.00000302424,0.00001057428,0.0002421808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04502919,"threshold_uncertainty_score":0.5470418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006813286790369449,"score_gpt":0.2788591207982837,"score_spread":0.2720458340079142,"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."}}