Het voorkomen van ochratoxine A in granen en\n graanprodukten
Bibliographic record
Abstract
Onderzoek werd verricht naar het voorkomen van ochratoxine A in granen. Honderd monsters van diverse herkomst werden onderzocht. In 20% van de monsters kon de aanwezigheid van ochratoxine A worden vastgesteld. Het ochratoxine A gehalte in positieve monsters bedroeg in een monster ca. 17 mug/kg, in alle overige positieve monsters was het gehalte < 5 mug/kg. De positieve monsters waren hoofdzakelijk te vinden onder de produkten tarwe, rogge en haver, terwijl voorts bleek dat een groot gedeelte van de positieve monsters afkomstig was uit de V.S. en Canada. Monsters van Europese herkomst bleken minder frequent gecontamineerd te zijn met ochratoxine A. In de categorie reformprodukten werd slechts in een van de 19 onderzochte monsters een spoor ochratoxine A aangetroffen.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".