Nesting of American White Pelicans in Lake Erie, 2019
Bibliographic record
Abstract
The first two nesting sites of American White Pelicans in the lower Great Lakes were discovered in the Canadian waters of western Lake Erie in 2016 and monitored during 2016-2018.They both showed an increased number of nests and fledglings in 2019.Two new nesting sites were discovered in Lake Erie in 2019: a site at the Mohawk Island National Wildlife Area, near Lowbanks, Ontario, in eastern Lake Erie, where a single nest with two eggs was found but later abandoned, and a site at the Pointe Mouillee State Game Area, near South Rockwood, Michigan, in western Lake Erie, where two nests produced two young.The increased nesting activity of American White Pelicans in Lake Erie in the last four years should alert field observers to watch for additional nesting activity of this species anywhere in the eastern Great Lakes area.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".