Marbled Murrelet satellite tracking data from British Columbia Canada 2014-2016-reference-data
Bibliographic record
Abstract
We report on movements and marine habitat use of breeding Marbled Murrelets Brachyramphus marmoratus offshore of Kitimat, British Columbia, Canada, with particular reference to the proposed “Northern Gateway” tanker traffic routes. Adult Marbled Murrelets were captured at night on the water during the pre-laying period (April 2014) in Wright Sound, near Hartley Bay, BC. Six birds were tagged with 5 g solar satellite transmitters. We had short-lived or no detections for two birds, detections for two weeks for three birds, and detections throughout the breeding season and beyond for one bird whose tag continued to transmit signals. Marine habitat use in relation to three alternative proposed tanker routes was examined for individual murrelets by using kernel density estimation to generate probability density functions of location, incorporating Argos location errors. Areas of high, medium and low encounter probabilities for each bird were generated. Use of marine habitats, coupled with a large population of birds in the area during the breeding season, suggests that there is a strong potential for interaction between tankers and murrelets along the proposed routes. However, based on the movement of one bird to south-central Alaska, individuals may migrate out of the area, reducing the likelihood of interactions post-breeding.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.008 |
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".