Natural variation in the growth and development of Protopiophila litigata (Diptera: Piophilidae) developing in three moose (Artiodactyla: Cervidae) antlers
Bibliographic record
Abstract
Abstract In animals, the early-life environment influences growth and development, which can have lasting effects on life history and fitness into adulthood. We investigated the patterns of growth, pupal development time, and their covariation in Protopiophila litigata Bonduriansky (Diptera: Piophilidae) larvae of both sexes collected from three discarded moose ( Alces alces (Linnaeus) (Artiodactyla: Cervidae)) antlers of varying size, chewing damage (used to infer relative age), and P. litigata density. Males tended to be smaller and their pupation lasted longer than females. One of the antlers was highly attractive to adult P. litigata , whereas the other two attracted few or none. Individuals from one antler of low attractiveness were smaller and took longer to eclose than individuals from either other antler, perhaps due to its high larval density. The relationship between body size and pupal development time also differed among antlers, being positively correlated in the most attractive antler and negatively correlated in the two other antlers.
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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 | 0.001 | 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) | 0.001 | 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".