The potential for the use of herbarium specimens to determine the host plants of <i>Ceutorhynchus</i> (Coleoptera: Curculionidae)
Bibliographic record
Abstract
Abstract The host plants of native Ceutorhynchus Germar (Coleoptera: Curculionidae) species are poorly known in North America, and knowledge of these is essential for biological control programmes involving this genus of weevils. We hypothesised that weevil larva emergence holes on plant specimens in herbarium collections might reveal potential plant-insect associations, and help locate populations of hosts for non-target testing. We examined 1114 plant specimens in 16 genera and 60 species of Brassicaceae and found 70 specimens among 30 species that showed evidence of feeding injury and exit holes typical of Ceutorhynchus . We used this information to locate populations of two species of Ceutorhynchus . Herbarium collections may be useful tools for developing knowledge of host plant associations for species of Ceutorhynchus .
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".