Radioactive Contamination of Food and Trophic Transfer
Bibliographic record
Abstract
Human foodstuffs can be naturally or artificially contaminated with radionuclides. This radioactive contamination can be transferred to humans when they eat. A large proportion of human contamination by radionuclides, both natural and artificial, comes from the diet. Some of the radionuclides in food are of natural origin and belong to the uranium and thorium families. The transfer factors from atmosphere to fruit will vary according to radionuclide speciation in the physical medium. Information on the transfer of radionuclides to fruit was almost absent in the former TRS 364 “Manual of parameter values for the prediction of radionuclide transfer in temperate environments”. The subarctic food chain of lichen–reindeer–human in Finland has been extensively studied for cesium and strontium radionuclides, but little for transuranics. Yet, radionuclide enrichment can lead to exceptionally high body loads in indigenous Sami and Inuit populations consuming large quantities of reindeer meat and edible organs.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 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".