PLANT AND FOOD BIOSECURITY (PLANTFOODSEC)
Bibliographic record
Abstract
This project will focus on biological threats having the capacity to affect and damage agriculture, infect plants and ultimately affect the food and feed at any stage in the food supply chain. \nTraditional thinking and planning regarding bioterrorism has focused primarily on humans as the primary target. If the perpetrator’s objectives can be met solely through the creation of human illness, death and associated panic, this may be appropriate. However, if economic and political vulnerabilities are included as contributing factors, agricultural bioterrorism must be considered among other possible avenues of attack. \nAgricultural bioterrorism (agroterrorism) is a subset of bioterrorism, and it is defined as the deliberate introduction of an animal or plant disease/pest with the goal of generating fear, causing economic losses, and/or undermining stability. \nProgrammes preparing for attacks against agriculture are not new, and have been conducted both by nation-states and by substate organizations throughout history. At least nine countries (Canada, France, Germany, Iraq, Japan, South Africa, United Kingdom, USA and the former USSR) had documented agricultural bioweapons programmes during some part of the 20th century. Four other countries (Egypt, North Korea, Rhodesia and Syria) are believed to have or have had agricultural bioweapons programmes. \nIn the mean time, natural outbreaks of diseases demonstrate the destructive potential of an agroterroristic attack. \nRecent trends in biosecurity recommend a shift from a largely national approach to biosecurity towards greater international cooperation. Current capabilities to detect and respond to agroterrorism are limited and spread among many organizations, with a corresponding lack of coordination. \nThe project deals with threats which are multifaceted, interrelated, complex and increasingly transnational in their impact. The European Network of Excellence PLANTFOODSEC aims to establish a virtual Centre of Competence in plant and food biosecurity to enhance preparedness and response capabilities to prevent, to respond and to recover from a biological incident or deliberate criminal activity threatening the European agrifood system.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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; both teacher heads agree on what is shown here.
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".