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Record W2008598393 · doi:10.1002/ajim.20419

Categorizing nasal septal perforations of occupational origin as cases of corrosive rhinitis

2006· review· en· W2008598393 on OpenAlexaff
Roberto Castaño, Gilles Thériault, Denyse Gautrin

Bibliographic record

VenueAmerican Journal of Industrial Medicine · 2006
Typereview
Languageen
FieldMedicine
TopicOccupational exposure and asthma
Canadian institutionsMcGill UniversityUniversité de MontréalHôpital du Sacré-Cœur de MontréalMcGill University Health Centre
FundersNational Institute for Occupational Safety and Health
KeywordsMedicineNasal septumPerforationDermatologyNose diseasesMucous membrane of noseNoseOccupational exposureSurgeryPathologyEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: In clinical practice a perforation of the nasal septum secondary to an occupational exposure to corrosive chemicals is not considered a sequel of rhinitis. METHODS: Relevant articles published in the last 26 years were searched and retrieved from PubMed. RESULTS: Patients with nasal septal perforations of occupational origin show a history of rhinitis with a gradual installation of symptoms and damage of the nasal mucosa progressing to ulceration and ultimately to perforation of the nasal septum. CONCLUSION: Patients with nasal septal perforations of occupational origin exhibit the clinical and histopathological features of rhinitis whereby they should be categorized as rhinitics. This rhinitis should be considered as a type of irritant-induced occupational rhinitis and classified as corrosive rhinitis.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0050.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.151
GPT teacher head0.420
Teacher spread0.269 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations24
Published2006
Admission routes1
Has abstractyes

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