Bioprospección de hiperparásitos de Hemileia vastatrix en Guatemala
Bibliographic record
Abstract
La bioprospección de agentes de control biológico es una actividad primaria en la búsqueda de alternativas para el manejo de plagas y enfermedades; las reservas naturales dentro de plantaciones de café por las características de biodiversidad son aptas para albergar diversidad microbiana y entre ellos agentes biocontroladores. El estudio se realizó en 10 fincas con reservas naturales con café, cinco en el departamento de Guatemala, cuatro en Sacatepéquez y una en Chimaltenango, los muestreos se realizaron en época seca y lluviosa; se obtuvo, documentó y determinaron en laboratorio los agentes hiperparásitos: Cladosporium hemileiae Steyaert, y Lecanicillium lecanii (Zimmerm.) Zare & W. Gams y además un insecto micófago Mycodiplosis sp. (Diptera, Cecidomyiidae). Se evaluaron las cepas de los hongos hiperparásitos con el índice de velocidad de crecimiento micelial (IVCM) y producción de conidiosporas. Se estableció que las mejores cepas de C. hemileiae fueron: Morán época seca parte baja, San Sebastián época seca y Guardabarranca parte alta; para L. lecanii fueron: San Sebastián época seca y Corral Viejo estación lluviosa parte baja.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".