Toxic metal contamination and total organic carbon content in the meat of the main fish species imported and sold i n Romanian’s supermarkets
Bibliographic record
Abstract
In Romania as in Western Europe in the last years a mass panic installed among the consumers of cheap fish meat imported mostly from Vietnam – Pangasianodon hypophthalmus (S 1878). This problem was intensively fuelled by mass media and different movies uploaded on internet. The metal compounds, once released in the environment, can easily contaminate the food webs and finally the body of the highest rank consumers. The toxic metals in high concentrations are damaging the biological functions and in the end they may trigger the death of the organism (depending on the concentration and the body weight). These metals cannot be biodegraded in the environment; they are quickly transferred from the environment and accumulated in the biological tissues. This study investigated the level of arsenic, mercury, lead and cadmium in the meat of Pangasianodon hypophthalmus, Merluccius hubbsi, Scomber scombrus, from nine different brands using HR-CS GF-AAS and HG-AAS techniques.
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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 | 0.001 |
| 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".