Bibliographic record
Abstract
Bald Eagles (Haliaetus leucocephalus) were studied in Texas from 1970 to 2009 by the Texas Parks and Wildlife Department. Active nests increased from 5 in 1970 to 156 in 2005 when the last aerial survey was conducted. A total of 547 nest sites in 313 territories in 76 counties were identified thru May 2009. Longevity of 261 nests tracked averaged 4.2 years with a standard deviation of 3.4. Six hundred and sixty-one food items were examined at nest sites. They were comprised of 33.7% birds, 30.7% reptiles and 30% fish. Hurricanes did not appear to have any impacts on nest production. Nest production varied from 1.2 to 1.45 young per active nest. One-hundred and thirty-eight eaglets were banded and color-marked. Fledging success was 97% after 6 weeks of age. Three band recoveries and sightings of 29 adults and 32 immatures were obtained. Twenty sightings occurred outside of Texas with 74% of these occurring from May to August. Texas born eagles were reported from South Carolina to Canada and Arizona. Bald Eagle populations are increasing 13% per year, but there are a number of threats which may limit populations in the future.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.006 | 0.001 |
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".