Childhood Ingestions of Environmental Toxins: What Are the Risks?
Bibliographic record
Abstract
Infants and children are at higher risk than adolescents and adults for exposure to environmental toxins via ingestion for a number of reasons: their smaller size (and proportionately larger dose of ingested toxins), their closer proximity to the ground, dirt, and indoor dust, their boundless curiosity and oral exploratory behaviors, pica habits that may persist into school-age for children with autism or other developmental delays, their proportionately larger daily water and milk intake, and food preferences that differ markedly from adolescents and adults. Children depend on adults to protect them and keep their home environment safe. Pediatric care providers can integrate environmental health topics into their well-child care practices, offering guidance and resources to parents concerned with reducing the risks to their children posed by hazards in their homes, daycare centers, preschools, schools, and the other environments in which they spend time. [Pediatr Ann. 2017;46(12):e466-e471.].
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".