Barley Yellow Dwarf in West Asia and North Africa
Bibliographic record
Abstract
In recent years. widespread infections of cereals with barley yellow dwarf virus (BYDV) in North Africa have attracted some attention among research and extension workers. As work on cereal virus diseases in the region is fairly limited. the International Center for Agricultural Research in the Dry Areas (ICARDA). in collaboration with Agriculture Canada and Laval University and with the full support of the International Development Research Centre (IDRC). organized a workshop on BYDV in Rabat. Morocco. in November 1989 to bring together scientists from the West Asia and North Africa (WANA) region with those from other institutions worldwide. The main objective of the workshop was to discuss the latest research developments and how to make use of them in formulating future research on BYDV in the WANA region in general and in North Africa in particular. where BYDV is causing serious losses in cereal crops. Future collaboration between ICARDA. Agriculture Canada. Laval University. Chile and scientists of the national programs in North African countries were also discussed at the workshop. The contributions of all scientists who presented their findings at the workshop are included in this volume. Collectively, the papers provide ample coverage of BYDV and the promising approaches that should be considered in efforts to limit the spread of the virus and minimize the losses it causes. ICARDA greatly appreciates the assistance given by the IDRC in sponsoring the workshop and financing this publication. The proceedings represent a valuable contribution to the knowledge about BYDV in the WANA region and are indicative of the regional and International cooperation targeted towards solving a problem of economic importance to several countries of the region served by ICARDA.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".