Disease Control and Prevention for Food Poisoning in Fujian, China (1997-2003)
Bibliographic record
Abstract
To explore the measures of disease control and prevention for food poisoning (FP) in Fujian. 250 events of FP, pathogenic factors were analyzed and the epidemiological characteristics were described from 1997 to 2003. 46.0% of FP occurred in rural family and 27.2% in mess hall; FP was mostly in the third quarter (51.2%) and 26.8% in the second quarter; FP by animal food accounted for 35.6% and by plant kinds of food 29.6%; FP by pathogenic microorganism accounted for 37.6% and by chemical materials 43.6%. Fatality rate of FP was highest by eating balloonfish, mushroom and paralytic shellfish. The following are very important for FP control and prevention, for example, building early warning system, effectively exchanging information, dealing with emergency events, regulating FP investigation and ensuring drug and medical material supply.
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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) | 0.000 | 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".