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Aluminum Industrial Health and Safety

2023· other· en· W4389978060 on OpenAlexaff
Calvin C. Willhite, Nataliya A. Karyakina, Nagarajkumar Yenugadhati, Franco Momoli, Thomas Wısnıewskı, Daniel Krewski

Bibliographic record

VenuePatty's Toxicology · 2023
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicAluminum toxicity and tolerance in plants and animals
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsInhalationOccupational asthmaInhalation exposureLung fibrosisIrritationMedicineEnvironmental healthPulmonary fibrosisOccupational exposureFibrosisPathologyImmunology

Abstract

fetched live from OpenAlex

Abstract Due to its versatility and unique properties, aluminum finds use in a wide variety of industrial and commercial applications. Occupational exposure to aluminum‐containing particulates or fumes at high levels can lead to potential occupational health risks. The inhalation toxicity of low soluble aluminum oxide is determined in most by particulate effects, including particle overload. Long‐term inhalation can cause pulmonary irritation, fibrosis, and occupational asthma. Accumulation of low soluble aluminum particles can overwhelm alveolar clearance and play a dominant role in lung irritation. The role of aluminum in the etiology of “potroom asthma” is uncertain due to the presence of co‐pollutants such as fluorides and sulfur dioxide. At present, there remains no convincing evidence that exposure to aluminum contributes to the development of Alzheimer's disease. Aluminum smelter workers have been shown to be at increased risk of lung and bladder cancer, but this is ascribed to pitch smoke and polycyclic aromatic hydrocarbons. No epidemiologic studies have examined pulmonary response after long‐term inhalation of aluminum oxide or hydroxide‐engineered nanomaterials. The European Chemicals Agency has developed new guidance on the development of health‐based occupational exposure limits in order to align REACH guidance with occupational health and safety legislation.

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 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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.323
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.051
GPT teacher head0.258
Teacher spread0.207 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venuePatty's ToxicologySame topicAluminum toxicity and tolerance in plants and animalsFrench-language works237,207