MétaCan
Menu
Back to cohort
Record W2069841971 · doi:10.1080/10643381003608227

Human Exposure to Antimony: I. Sources and Intake

2011· article· en· W2069841971 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCritical Reviews in Environmental Science and Technology · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicArsenic contamination and mitigation
Canadian institutionsLaurentian University
FundersFood Standards Agency
KeywordsAntimonyParticulatesEnvironmental scienceEnvironmental chemistryHuman healthBottled waterContaminationChemistryEnvironmental engineeringEcologyEnvironmental healthBiology

Abstract

fetched live from OpenAlex

Human beings are exposed to antimony through air, water, and food sources. The authors present and critically discuss the literature information on Sb concentrations in those corresponding sources and intake by humans. Concentrations in air particulate matter vary from a few pg m−3 in remote areas to a few ng m−3 in urban areas and much more in some contaminated sites. Most Sb concentrations in drinking water are below the 1.0 μg·L−1 level, except for some bottled waters that can show higher level under extended conditions of storage. All concentrations in food fall generally well below the 1.0 μg·g−1 on a dry weight basis, suggesting little concern in terms of Sb uptake from this category.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.699
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.020
GPT teacher head0.270
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it