The cuticular surface of <i>D. melanogaster</i> : ToF‐SIMS on the fly
Bibliographic record
Abstract
Abstract Insects rely on chemicals to communicate, regulate water balance, and provide a protective barrier against infection. Drosophila melanogaster generates hydrocarbons to perform such functions, and these compounds coat the cuticular surface of the fly. Very little is known about the surface properties of these compounds, how they are arranged and whether they are evenly or unevenly distributed. Here, we begin to address these questions using time of flight (TOF) SIMS. We demonstrate that we can identify synthetic compounds, and that we can detect male–female differences. We used polished silicon wafers as a substrate for the application of synthetic compounds, as well as dissected bits of the cuticle taken from wild‐type males and females. Application of the Bi 3 + cluster source‐obtained spectra that describe the properties of synthetic compounds that served as standards. Spectra obtained from the sections of dissected cuticle were complex but sex‐based differences are evident. Thus, in principle, TOF‐SIMS will be especially informative in future studies that elucidate physical properties of the epicuticular surface of the fly. Copyright © 2010 John Wiley & Sons, Ltd.
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 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".