Nest clustering correlates with breeding phenology rather than female relatedness in Red‐breasted Mergansers (<i>Mergus serrator</i>)
Bibliographic record
Abstract
Fine‐scale spatial and temporal genetic structuring of nests is possible in colonial birds that return to breed at their natal sites, and notably in waterfowl for which females are more philopatric than males. We genotyped female Red‐breasted Mergansers Mergus serrator breeding colonially on a coastal archipelago in eastern New Brunswick, Canada, during 2015 and calculated pairwise kinship coefficients using 4270 single nucleotide polymorphisms to assess whether related hens nest near each other and initiate their nests around the same time. We found no spatial or temporal genetic structure across islands; however, nesting was relatively synchronous between hens nesting close together. Red‐breasted Mergansers initiating their nests at the same time may select nearby nest‐sites based on the availability of dense vegetation that conceals nests, limiting opportunities for kin to nest near one another in this population.
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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 | 0.001 |
| 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 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".