Trout, monitors of the Great LakesTrout, monitors of the Great Lakes
Bibliographic record
Abstract
Lake trout (Salvelinus namaycush) are the largest member of the char family and occupy the top of the food web in deep, cold lakes across the upper reaches of North America. Prized by anglers, lake trout often live up to 20 years, reaching more than 60 cm in length and 10 kg in weight with high body-fat content. All these characteristics make lake trout perfect for biomonitoring because they accumulate pollutants in their bodies at levels indicative of their environmental exposure. In the Great Lakes, the world’s largest freshwater system, lake trout have been under surveillance for more than 40 years by the U.S. Environmental Protection Agency and Environment & Climate Change Canada. At the onset of monitoring in the 1970s, the focus was on the “dirty dozen” persistent organic pollutants listed by the 2001 Stockholm Convention. These recognizable compounds, now banned from production and use, include the pesticides DDT
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 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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".