Location data for whooping cranes of the Aransas-Wood Buffalo Population, 2009-2018
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Location and associated data came from whooping cranes from the Aransas-Wood Buffalo Population, 2009-2018. We marked a sample of 68 whooping cranes with leg-mounted transmitters that acquired locations via the global positioning system (GPS) network and transmitted those data through the Argos satellite system. Cranes were captured either at their natal areas in and adjacent to Wood Buffalo National Park in Canada or at their winter terminus along the Texas Gulf Coast. Transmitters provided different quantities of data because of the variable transmitter functionality and survival of marked birds. Multiple partners administered this research project and collected these data, including the Canadian Wildlife Service, Crane Trust, Platte River Recovery Implementation Program, U.S. Fish and Wildlife Service, and U.S. Geological Survey.
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.
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 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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 it