Heavy metals in burbot (Lota lota L.) caught in lakes of Northeastern Saskatchewan, Canada
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
Burbot could be a source of raw material for the commercial isolation of liver oil for a nutritional therapeutic product. Burbot liver oil have been found to contained high content of Vitamin D, Vitamin K and polyunsaturated fatty acids. It is also anticipated that the resulting burbot tissue would be commercial sold for human-food uses. The two target lakes, Athapapuskow Lake and Amisk Lake, of planned burbot catches are located downwind from a large copper–zinc smelter in Flin Flon, Manitoba, Canada. There was particular concern that burbot caught in these lakes may be contaminated with toxic heavy metals. Exploratory studies showed that the key toxic metals, viz., arsenic, cadmium, lead and mercury, were largely below the acceptable limits set forth in the guidelines of the Canadian Food Inspection Agency.
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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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