Seroprevalencia de infección por Trypanosoma cruzi en bancos de sangre públicos del oriente de Venezuela
Bibliographic record
Abstract
"Se evaluó la seroprevalencia de anticuerpos tipo IgG anti-Trypanosoma cruzien tres bancos de sangre públicos del orienteVenezolano (estado Sucre: Hospital Universitario “Antonio Patricio de Alcalá” Cumaná; Hospital “Santos Aníbal Dominicci” Carúpano;estado Monagas: Hospital “Núñez Tovar”, Maturín). Se evaluaron 1.301 sueros provenientes de donantes (rango de edad: 18 a 59 años), deambos sexos. Quinientos dieciocho (n=518) procedieron del banco de sangre del Hospital de Cumaná, 281 del banco de sangre del Hospitalde Carúpano y 502 del banco de sangre del Hospital de Maturín. El diagnóstico serológico fue realizado mediante la prueba de ELISA(EPI-ELISA) y como prueba confirmatoria la técnica de Western blot (TESA-blot). Para la evaluación de los resultados de las pruebas noconcluyentes, se empleó una tercera prueba serológica(inmunofluorescencia indirecta: IFI). La seropositividad de anticuerpos tipo IgGanti-T. cruzifue de 0,6% (8/1301 donantes) en los tres bancos de sangre evaluados. La seroprevalencia de infección porT. cruzien lostres bancos de sangre públicos estudiados resultó baja; no obstante, se recomienda aplicar más de una prueba serológica para mejorar eldiagnóstico de la enfermedad de Chagas en los bancos de sangre de Venezuela."
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".