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Record W2916403930 · doi:10.1289/isee.2015.2015-7559

Challenges Posed By Manganese Neurotoxicity In Latin America

2015· article· en· W2916403930 on OpenAlex
Donna Mergler

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

VenueISEE Conference Abstracts · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy Metal Exposure and Toxicity
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsManganeseNeurotoxicityLatin AmericansEnvironmental healthBiologyPhysiologyMedicineToxicityChemistryPolitical science

Abstract

fetched live from OpenAlex

In Latin America, several sources of environmental airborne and waterborne manganese have been identified, including manganese mining and transformation, use of manganese-based pesticides and drinking water. Studies have shown negative associations between hair manganese and cognitive function and positive associations with behavioral problems. Manganese is an essential element and as such, the study of its neurotoxicity poses several challenges, both physiologically and socially. Manganese requirements vary with sex and over the life cycle; women of childbearing age have the highest concentrations of blood manganese and they increase further during gestation. Both human and animal studies have shown sex-dependent differences in manganese neurotoxicity, which as well may differ through the lifespan. Manganese is further influenced by iron intake and metabolism, making it not only an issue of physiological interaction, but also of social inequality. In many Latin American countries, the prevalence of anemia surpasses 30% in pre-school children. This presentation will examine how studies on manganese neurotoxicity from Mexico, Ecuador, Costa Rica, and Brazil address these factors and make recommendations for future work, with a view to reduction of exposure and effects.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.896
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.084
GPT teacher head0.272
Teacher spread0.188 · 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