{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001883405,0.0008393955,0.00050522,0.0007135026,0.000336368,0.0007950254,0.0005797755,0.0005269661,0.0002926864],"category_scores_gemma":[0.001682532,0.0004523689,0.0007144777,0.000336101,0.0005299142,0.0003969396,0.0005438376,0.0005843245,0.0003260995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006283323,"about_ca_system_score_gemma":0.0008051191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005054046,"about_ca_topic_score_gemma":0.005156462,"domain_scores_codex":[0.9986803,0.0002626531,0.0001482532,0.0002931091,0.0005032809,0.0001124273],"domain_scores_gemma":[0.9993212,0.0001584956,0.0001193806,0.00007653354,0.0003000095,0.00002444821],"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":[0.0000306308,0.00003806362,0.0026253,0.0001656655,0.00001633554,0.0001007647,0.0001309049,0.0004544898,0.987851,0.0001093175,0.00007324503,0.008404262],"study_design_scores_gemma":[0.00001883962,0.0003481784,0.01009212,0.00007696325,0.0001030137,0.0007173789,0.0001093214,0.007934117,0.9759829,0.0001118406,0.004470412,0.00003496033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8330786,0.005907155,0.1526811,0.0004713105,0.0001619666,0.001070491,0.001564159,0.0008765063,0.004188754],"genre_scores_gemma":[0.8555885,0.003694077,0.1366787,0.0002475358,0.00002032561,0.0004707244,0.001897014,0.0001091308,0.001294003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005054046,"threshold_uncertainty_score":0.01004928,"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."}}