INTEGRATED PEST MANAGEMENT AND ENTOMOPATHOGENIC FUNGAL BIOTECHNOLOGY IN THE LATIN AMERICAS: II. KEY RESEARCH AND DEVELOPMENT PREREQUISITES
Bibliographic record
Abstract
In the first part of this review article (Valencia & Khachatourians, 1998) we presented the special opportunity that entomopathogenic fungi (EPF) offer for integrated pest management (IPM) in the Latin Americas. As expected, along with the opportunities, there are challenges for the use of EPF. First that there are only two fungi, Beauveria bassiana and Metarhizium anisopliae, for which sorne prerequisite knowledge of basic and applied mycology for industrial research and development (R & D) are in place. Because of precedent setting leadership in the development of certain EPF, e.g., B. bassiana in 1PM, Latin America stands to contribute to and gain from future discovery research coupled to a strong and dependable industrialization effort. There is also need to develop the framework for public acceptance, newer commercialization potential and widespread use of EPF in 1PM. Here we examine issues that are prerequisites for industrial R & D.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".