Interannual repeatability of eggshell phenotype in individual female Common Murres (<i>Uria</i><i> aalge</i>)
Bibliographic record
Abstract
The recognition of own progeny is critical in group-living organisms that provide parental care for their young. The colonial seabird Common Murre (Uria aalge (Pontoppidan, 1763); also known as the Common Guillemot) does not build a nest, so direct cues must be available for the parents to recognize their own egg. However, only anecdotal evidence exists that, as seen in other avian lineages where examined, eggshells of Common Murres are also consistent in most aspects of their appearance between different breeding attempts by each female. Using digital photography, we quantified several eggshell traits of a handful of captive Common Murres across multiple years. Individual female Common Murre eggs were significantly repeatable in background colour, maculation coverage, spot shape, and shell size. Laying individually consistent and recognizable eggshells across breeding attempts may benefit Common Murres by reducing both the cost of relearning and the risk of misidentifying their own eggs. More generally, these data also add to the growing knowledge of individually consistent eggshell genesis by the avian reproductive system.
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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 | 0.001 |
| 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".