Bibliographic record
Abstract
Low blood serum/plasma concentrations of ochratoxin A (OTA) have been reported for healthy persons in more than 20 countries. Epidemiology studies in Bulgaria, Romania, Spain, the Czech Republic, Turkey, Italy, Egypt, Algeria and Tunisia have found significantly higher serum or plasma levels of OTA in patients with certain kidney disorders compared to healthy people, although the association may not be a causal one. Regional variations within one country, seasonal differences and variation within one person were found in some studies. Correlations with age and gender have not usually been detected. Detection limits using liquid chromatographic methods are about 0.02-0.1 ng ml(-1) plasma/serum so that incidences of positives often are 50-100%, reflecting widespread and continuous exposure of humans to OTA. In a study in the UK, OTA in urine was found to be a better indicator of OTA consumption than OTA in plasma. Nevertheless, blood plasma concentrations have been widely used to estimate dietary intake of OTA, using equations relating it with plasma concentration, plasma clearance and bioavailability. A further source of human exposure is airborne dust. OTA has been detected in human milk in several countries and comparisons with serum/blood levels have been made in Germany and Sweden.
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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) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".