{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001412277,0.000199334,0.0002105674,0.001077499,0.001107763,0.001109459,0.0004724251,0.001227528,0.001838163],"category_scores_gemma":[0.003588843,0.0001544346,0.00009815217,0.0007035744,0.0009463216,0.0009572683,0.0006817754,0.0006272472,0.0004986853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004912335,"about_ca_system_score_gemma":0.0008664692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03600904,"about_ca_topic_score_gemma":0.05996667,"domain_scores_codex":[0.9993584,0.0002344574,0.0000602314,0.0001063799,0.0001311826,0.0001093981],"domain_scores_gemma":[0.9972404,0.0004918736,0.0008351558,0.0001266899,0.0008049881,0.0005009575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001909023,0.00007345313,0.9305711,0.0002203965,0.0000381196,0.0007416948,0.00520894,0.00003133874,0.005304481,0.00009744527,0.01282992,0.04469221],"study_design_scores_gemma":[0.000009344116,0.0001771784,0.9705635,0.0002205486,0.00006070919,0.001586859,0.01562241,0.0001218148,0.001281643,0.0002588998,0.01007465,0.00002249308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746391,0.003782063,0.0005209446,0.01559536,0.0005780275,0.00003669134,0.0009133494,0.00005598898,0.003878543],"genre_scores_gemma":[0.9903599,0.001242133,0.0009072754,0.005269167,0.0002489641,0.00002238075,0.000416124,0.000009435035,0.001524559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03600904,"threshold_uncertainty_score":0.07159889,"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."}}