Bibliographic record
Abstract
Nest searching for Eastern Prairie Population Canada geese was conducted on the Nestor One Study Area near Cape Churchill, Manitoba from 4-11 June 2003. A total of 57 nests was found in initial searches of 732 ha of wetlands in 14 primary sample areas, 57 nests were located in searches of 6 coastal sample areas, and 44 nests were located in 3 additional sample units south and east of the primary units. Two nests were located subsequent to initial surveys or outside of surveyed sample areas, for a total of 160 nests located on the Nestor One study area in 2003. Nest density (unadjusted for observability) in the primary sample areas was 7.79 nests per 100 ha of wetland— near the highest nest density recorded on the Nestor One study site since the late 1980s, and 36% higher than that estimated in 2002. Clutch size in 143 nests with eggs present when located averaged 4.51—higher than the long-term mean of 3.93 (1976-2003) and the clutch size expected based on the established relationship between mean clutch size and median hatch date. Estimated median hatch date was 25 June, and ranged from 17 June to 1 July, with 77% of nests initiated on or before 23 May 2003 (the date used to define “bust” production). Nest success calculated as the average apparent success rate of nests active when first located during initial nest searching (0.68) and the 28-day survival of nests based on exposure days through nest location (0.59) was 0.63—equal to the average nest success of 0.63 observed during the 1990s. Based on these estimates of nest density, clutch size, and nest success, gosling production at Nestor One was approximately 22.21 per 100 ha of wetland—above the average of 16.5 goslings per 100 ha of wetlands observed in the 1990s and estimated production of 11.9 goslings per 100 ha of wetland in 2002. Gosling production at Nestor One in 2003 was above the average observed in the 1990
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".