{"id":"W3201359208","doi":"10.1016/j.actatropica.2021.106130","title":"Catch me if you can: Under-detection of Trypanosoma cruzi (Kinetoplastea: Trypanosomatida) infections in Triatoma dimidiata s.l. (Hemiptera: Reduviidae) from Central America","year":2021,"lang":"en","type":"article","venue":"Acta Tropica","topic":"Trypanosoma species research and implications","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Armed Forces Health Surveillance Branch; U.S. Department of Agriculture; U.S. Department of Defense; International Development Research Centre; National Institutes of Health; Indiana University; National Science Foundation","keywords":"Biology; Chagas disease; Trypanosoma cruzi; Triatoma infestans; Triatoma; Reduviidae; Genotype; Virology; Triatominae; genomic DNA; Parasite hosting; Polymerase chain reaction; Hemiptera; Genetics; Gene; Zoology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000005765436,0.0003371323,0.0007788285,0.000328442,0.0001811589,0.00006395353,0.0002536715,0.0002681083,0.0007334997],"category_scores_gemma":[0.0007830056,0.0003329433,0.000281916,0.001382446,0.0001807773,0.0002163741,0.0001716996,0.0006621684,0.00004334222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004613067,"about_ca_system_score_gemma":0.0007775706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001975271,"about_ca_topic_score_gemma":0.002618423,"domain_scores_codex":[0.9967721,0.0002026686,0.0008604449,0.0007022453,0.0006239358,0.0008386322],"domain_scores_gemma":[0.9975492,0.0003710952,0.0002508267,0.001111881,0.0002765447,0.0004404662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002444704,0.001190444,0.02081969,0.00006634396,0.0002248785,0.00004978979,0.000522462,0.000009622743,0.9706642,0.0002201182,0.00154895,0.004439013],"study_design_scores_gemma":[0.003778995,0.0004535406,0.8688755,0.0001159165,0.0001141514,0.000114619,0.001166234,0.0002233687,0.1016141,0.0002204867,0.02306798,0.0002550631],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863967,0.0003829254,0.001111891,0.008427006,0.0004437261,0.0005985519,0.000432574,0.0001288547,0.002077789],"genre_scores_gemma":[0.9968088,0.0006404353,0.0005804541,0.0002890165,0.000397127,0.0001375931,0.0004519222,0.00005441111,0.0006402993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8690501,"threshold_uncertainty_score":0.9999123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695787756259657,"score_gpt":0.269384571553224,"score_spread":0.2524266939906274,"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."}}