Would St Johns wort beetles have been introduced to New Zealand nowadays
Bibliographic record
Abstract
The classical biological control programme against St Johns wort (hereafter SJW) Hypericum perforatum is considered one of the greatest success stories in New Zealands history of weed biocontrol The first biocontrol agent the lesser SJW beetle Chrysolina hyperici (Coleoptera Chrysomelidae) was introduced to New Zealand in 1943 following hostrange testing in Australia which as an acceptable standard at the time did not include indigenous plant species No further hostrange testing was carried out in New Zealand Introduction of the greater SJW beetle C quadrigemina and the gall midge Zeuxidiplosis giardi followed in the 1960s The introduction of SJW beetles was re examined in the light of current hostrange testing standards In host specificity testing SJW beetle larval feeding and adult oviposition took place on indigenous Hypericum spp in both nochoice and choice tests clearly suggesting that these highly effective agents would have been considered unsafe for introduction to New Zealand under current standards Preliminary field observations suggest however that the risk to indigenous Hypericum spp is minimal raising an inevitable dilemma while safety in current host range testing is extremely high are we more likely to reject potentially effective agents through falsepositives expressed in our artificial testing arenas
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".