Geographical Variation in Incubation Shift Length of Ancient Murrelets Synthliborapmphus Antiquus Determined from Geolocator Devices
Bibliographic record
Abstract
Geographical variation in incubation shift length of Ancient MurreletsSynthliboramphus antiquus determined from geolocator devices.Marine Ornithology 45: 217-221.Incubation shift lengths were estimated from geolocator devices attached to 48 Ancient Murrelets Synthliboramphus antiquus at four colonies in Haida Gwaii, British Columbia, during 2014 and retrieved during 2015.Light-level data were used to determine the timing of colony departures in 2014 and the start of incubation in 2015, and to measure the length of incubation shifts.Incubation started and ended 12 d later at colonies on the west coast of Haida Gwaii than at those on the east coast.First at-sea shifts after devices were attached (mean 3.6 d) were longer than later shifts (2.8 d), and longer than corresponding mate shifts (2.9 d), suggesting that attachment had some effect on behaviour.However, by the time of colony departure, shift lengths were unaffected by the devices.During 2014, excluding the last shift before departure, most shifts at colonies on the east coast were 1-3 d, whereas those at west coast colonies were 3-5 d.Shifts during 2015 were also longer at west coast than at east coast colonies, although sample sizes were smaller because time between start of incubation and recapture was mostly brief.This is the first demonstration of regional variation in incubation shifts among Ancient Murrelet populations.Although geolocators are generally used to study long-distance movements in seabirds, our results support to the idea that they can provide substantial additional information on the breeding biology of birds.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".