A molecular comparison between long-day and short-day conditioned monarch butterflies (Danaus plexippus)
Bibliographic record
Abstract
The Monarch butterfly (Danaus plexippus), a member of the Lepidoptera, is unique in its seasonal migration. Especially fascinating is the population of eastern United States and Canada because of the distance this group travels yearly. In order to understand what factors contribute to this behavior, two essential concepts are required. First, is an understanding of the changing environment from season to season, which may trigger these survival instincts. Second, is the study of the internal mechanisms that are cued by the environment and that are then translated into behavior. In an attempt to better comprehend monarch butterfly behavior, I have focused on an energy storage protein that is expressed in certain behavioral states and not in others. Though this protein is believed to function in development, my experiments have shown its expression far beyond development into adulthood, suggesting other functions. The expression of this protein, which is known to serve as a storage site for nutrients, could potentially play a role in the anticipation of migratory behavior. This reserve storage would be essential for the survival of monarchs during a nutrient scarce period in overwintering sites in Michoacan, Mexico. My experiments have added to the understanding of protein expression in monarch butterflies and the environmental conditions that influence it.
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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 | 0.000 | 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) | 0.002 | 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 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".