Health of lake whitefish (<i>Coregonus clupeaformis</i>) with elevated tissue levels of environmental contaminants
Bibliographic record
Abstract
Lake whitefish (Coregonus clupeaformis) were collected in 1996 from the St. Lawrence River, Quebec, Canada. Histologic examination was performed on major organs of 497 specimens and on the liver of 48 additional individuals. Preneoplastic and neoplastic hepatic changes consisted of vacuolated cell (n = 65), clear cell (n = 17), and acidophilic (n = 16) foci of altered hepatocyte, hepatocellular carcinoma (n = 12), cholangioma (n = 5), and cholangiocarcinoma (n = 28). Six fish were intersexes (1.2%), and 11.7% of the ovaries (26/223) had ducts containing spermatogonia or more differentiated cells of the male germ cell line. Asynchronous nodular maturation of the testes was present in 8.2% of the male fish (22/267). The mean hepatic concentrations of various contaminants, including polychlorinated biphenyls (PCBs), chlorobenzenes, pesticides, and trace metals, were 6 to 8 times higher in lake whitefish than in three other fish species (Ictalurus punctatus, Catostomus commersoni, and Stizostedion vitreum) collected at the same site. Condition factor of lake whitefish from this study was lower than that previously reported 40 to 50 years ago at this site and from contemporary pristine sites in the Great Lakes, USA. The presence of liver neoplasms, gonadal lesions, and a decreased condition factor in lake whitefish from the St. Lawrence River may be etiologically related to elevated tissue concentrations of toxic chemical contaminants.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".