Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Science of Low-Level Lead ToxicityAbstract Number:2909 Bruce Lanphear* Bruce Lanphear* Simon Fraser University, Canada, E-mail Address: [email protected] AbstractLow levels of exposure to lead, the prototypical toxicant, are associated with an increased risk of disability and disease. In children, low-level lead exposure impacts the developing brain and is linked with diminished intelligence, ADHD, and antisocial behaviors. There is no apparent threshold for lead toxicity; indeed, for a given exposure, the decrements in intellectual function are greater at blood lead levels < 100 µg/L (i.e., <10 µg/dL), the level still considered 'acceptable' in many countries. Lead exposure is also a major risk factor for psychopathology, including ADHD and criminal behaviors. In the United States, 1 in 5 cases of ADHD have been attributed to lead exposure and the decline in blood lead levels was cited as the major reason for the dramatic decline in violent crimes over the past 5 decades. In adults, lead exposure is an established risk factor for hypertension and chronic renal failure. Lead is also a potential risk factor for some of the most prevalent causes of deaths and disabilities in industrialized societies, such as cardiovascular disease mortality and accelerated cognitive decline. Evidence is emerging that these health impacts occur at blood lead levels well below current health standards and guidelines. Despite the dramatic declines in blood lead concentrations that have been achieved in many countries, low-level lead toxicity remains a major public health problem worldwide; a large fraction of children in many industrializing countries have blood lead levels in excess of 100 µg/L and the cost of lead toxicity exceeds $1 trillion annually.
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 it