Seasonal movement patterns monitored with GPS-collars for a migratory caribou and for a sympatric resident caribou.
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
<p>(A) and (C) show winter and summer locations. For each caribou (A) shows a complete separation of the seasonal ranges, typical of a migratory animal, while the animal in (C) has ranges overlap and is considered sedentary. (B) and (D) show Net Square Displacement (NSD) plots for the same individuals, between a starting telemetry location and each subsequent location in a year period. (B) The displacement is best represented by a bell curve (marked with continuous line above) when the animal is migratory. (D) An animal is classified as sedentary when the best fitting line quickly reaches an asymptote. Dark grey dots represent actual telemetry locations. Solid lines represent the best fitted models, whereas other lines represent unsupported models of seasonal movement (mixed-migrant, nomad or disperser). In this study, we correlated genetic traits with NSD characterization of individuals as migrants. Basemap layers available from: <a href="https://www12.statcan.gc.ca/census-recensement/2011/geo/bound-limit/bound-limit-eng.cfm" target="_blank">https://www12.statcan.gc.ca/census-recensement/2011/geo/bound-limit/bound-limit-eng.cfm</a> and <a href="https://open.canada.ca/data/en/dataset/957782bf-847c-4644-a757-e383c0057995" target="_blank">https://open.canada.ca/data/en/dataset/957782bf-847c-4644-a757-e383c0057995</a>.</p>
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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.034 | 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 it