Solid urban wastes and toxicity among residents of Ghemme and Cavaglio (Piedmont region, Italy). Results from a historical cohort 1980 to 2013.
Bibliographic record
Abstract
BACKGROUND: There is plenty of evidence for a relation between certain environmental pollutants and ecological damage. Landfills, especially if uncontrolled and located near human settlements, may cause an increase in cancer incidence and in various diseases. METHODS: The area of study is represented by the cities of Ghemme (population 6,139) and Cavaglio (population 2,216), in the province of Novara, northern Italy. A solid urban waste landfill is located between these two cities. We analysed mortality data from 1980 to 2013 among subjects residing in the two cities since at least 6 months, according to distance from the landfill. Mortality data was obtained from the National Statistics Institute ( ISTAT). RESULTS: A mortality increase was shown, according to Cox model, in residential areas closer to the landfill. In Cavaglio D'Agogna the total number of cancer deaths occurring in the 0-44 age group and the total death causes were relevant. A significant increase in leukemia cases was detected in Ghemme city. CONCLUSIONS: Our analysis shows an increased risk of diseases (cancer and other diseases), with a possible environmental etiological link.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".