Practicalities of developing and registering microbial biologicalcontrol agents.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract There is considerable interest in the exploitation of microbial biological control agents (MBCAs) for the control of crop pests, weeds and diseases. MBCAs can be used where chemical pesticides are banned or being phased out or where pests have developed resistance to standard chemicals. The use of MBCAs can play an important role in crop protection, as a key element in integrated pest management (IPM) programmes. However, despite considerable research efforts on the development of new biological control agents the number of such products on the market in the European Union (EU) is still extremely low compared with the USA or Canada. In areas that previously constrained the commercialization of MBCAs, discovery, fermentation, formulation and application, significant progress has been made. The low number of products is mainly due to the slow registration process. In the EU, MBCAs are regulated by and follow Directive 91/414/EEC for placing plant protection products in the market. Once an active ingredient is listed in Annex I, national registrations for the formulated product have to follow. This time consuming and expensive process has forced most companies to suspend their efforts in research and development. Initiatives by stakeholders from industry, science, regulatory authorities, policy and environment are underway to accelerate market introduction of MBCAs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 it