Tufted Puffin (Fratercula cirrhata) 3dRADseq and msat data
Bibliographic record
Abstract
Abstract The tufted puffin (Fratercula cirrhata) is a medium sized seabird found throughout the North Pacific Ocean. Although populations of tufted puffins appear to be stable or increasing in some parts of their distribution, they are experiencing significant declines in other parts of their distribution, including in the Gulf of Alaska. Assessments of tufted puffin population status in Alaska are currently limited because little is known about population genetic structure. Similarly, there is little information on the amount of dispersal between populations in Alaska, and between populations in Alaska and those in the southern portion of the species’ range. If genetic analyses reveal significant genetic differentiation between tufted puffins nesting in different regions of Alaska, or evidence of local adaptation, then the apparent decline in the Gulf of Alaska becomes more of a conservation concern. There is general consensus within the tufted puffin research and management community that a study of population genetic structure is a high priority. As part of our ongoing research, we conducted genetic analysis to determine if tufted puffin nesting colonies form single or multiple conservation units, and populations show evidence of local adaptation, using traditional population genetic analysis and next-generation sequencing techniques. Continuing analyses of genome-wide associations between environment and genetic adaptation for tufted puffins will also provide greater insight into how coastal seabird populations in the temperate North Pacific Ocean are coping with the effects of climate change.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.114 | 0.062 |
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".