Use of contact chemical cues in prey discrimination by <i><scp>C</scp>erceris fumipennis</i>
Bibliographic record
Abstract
Abstract C erceris fumipennis S ay ( H ymenoptera: C rabronidae) uses a wide range of adult buprestid beetles to provision nests. Wasps seldom make ‘mistakes’ and attack beetles in other families. Bioassays showed that the wasps use contact chemical cues in the beetles’ epicuticle to discriminate buprestids from other beetles. Wasps rejected buprestids that had their cuticular hydrocarbons ( CHC ) removed by being washed in solvents. The washed, rejected buprestids became acceptable to 70% of wasps when they were coated with an extract of buprestids’ own CHC . Washed buprestids coated with extracts of non‐buprestid beetle CHC were not accepted. Analyses of buprestid CHC profiles showed that they are relatively simple, consisting of five classes. Other coleopteran families that may co‐occur in the arboreal hunting habitat of C . fumipennis have a broader range of CHC classes. Experiments adding buprestid hydrocarbons to a non‐buprestid beetle, unwashed P opillia japonica N ewman ( C oleoptera: S carabaeidae), suggested that wasps may be deterred by the presence of CHC classes not found in B uprestidae. Adding a synthesized dimethyl‐branched hydrocarbon, a class of CHC found in C hrysomelidae but not B uprestidae, to the cuticle of unwashed buprestid beetles, caused wasps to reject the buprestid beetles. We propose that CHC act as a kairomone for C . fumipennis , triggering attack, whereas classes of CHC not found in B uprestidae disrupt this response, and thus help to determine the prey range of the wasp.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".