Bibliographic record
Abstract
Biosecurity Queensland is the coordinator and lead agency of biosecurity activity in Queensland through its Plant Biosecurity and Product Integrity Program. It is committed to maintain and demonstrate the favourable plant pest and disease status of Queensland’s horticulture, broadacre and forestry crops. Queensland plant industries contribute significantly to the regional and national economy. Biosecurity Queensland activities aim to mitigate the risks and impacts to the economy, to the environment, and to social amenity associated with plant pests and diseases. Markets, both domestic and international, are increasingly sensitive to the threat of pests and diseases and will not hesitate to restrict or suspend access to Queensland produce should there be a significant incident, even if the incident occurs in another state. Therefore, Queensland will maintain its commitment to national surveillance and response programs into the future. In recent times, biosecurity staff have been involved in many important plant pathogen incursions in Australia. This has involved coordination of surveillance to address traceforwards and trace - backs of plant material into and out of Queensland. Surveillance activities have been undertaken for myrtle rust, mango malformation disease, bacterial canker of kiwifruit, angular leaf spot of strawberry, sweet orange scab of citrus. This work involves engagement with the specific industries involved, with stakeholders, with diagnostic scientists within Queensland and nationally and often with public and/or private community organisations. Surveillance can extend from urban backyards, to nurseries, farms, forestry plantations, roadside vegetation and bushland.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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; 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".