{"id":"W2922431698","doi":"10.1038/s41598-019-40960-5","title":"Development and Validation of Reverse Transcription Loop-Mediated Isothermal Amplification (RT-LAMP) for Rapid Detection of ZIKV in Mosquito Samples from Brazil","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco; International Development Research Centre","keywords":"Zika virus; Loop-mediated isothermal amplification; Virology; Aedes aegypti; Culex quinquefasciatus; Reverse Transcription Loop-mediated Isothermal Amplification; Biology; Mosquito control; Aedes; Dengue fever; Dengue virus; Yellow fever; Flavivirus; Chikungunya; Reverse transcriptase; Virus; Polymerase chain reaction; Malaria; Ecology; Genetics; Immunology","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":[0.0008119845,0.0001047423,0.000273087,0.0001977105,0.0000479017,0.00002577863,0.00003885991,0.00006819086,0.000100882],"category_scores_gemma":[0.0001419888,0.0000983901,0.00007535372,0.0002476128,0.00006600171,0.000146944,0.000009443938,0.00004499083,0.000002830977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005249247,"about_ca_system_score_gemma":0.0001584538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001338021,"about_ca_topic_score_gemma":0.00006492046,"domain_scores_codex":[0.9983302,0.00003180449,0.0006963104,0.0004686536,0.0003261355,0.0001469368],"domain_scores_gemma":[0.9988708,0.00004876731,0.0004174279,0.0003760123,0.0002193315,0.00006759732],"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":[0.0003404966,0.0001386568,0.01755804,0.0001986161,0.00002851741,0.000002864511,0.0006879175,0.00002433812,0.9551726,0.00001465104,0.00006838814,0.02576489],"study_design_scores_gemma":[0.002090072,0.0001240722,0.17237,0.00022532,0.0001244492,0.00001045777,0.0006459996,0.001341631,0.8148498,0.0004143939,0.007650645,0.0001532098],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949769,0.0002793839,0.002551454,0.00006167945,0.0009358888,0.001117471,0.00002399958,0.00001809255,0.00003517253],"genre_scores_gemma":[0.9980425,0.00001071208,0.001029569,0.00002033144,0.00002917484,0.00006271938,0.000585927,0.00001236072,0.0002067273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1548119,"threshold_uncertainty_score":0.4012232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01817663283844164,"score_gpt":0.2540261289229329,"score_spread":0.2358494960844913,"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."}}