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Record W2052103847 · doi:10.1080/15459620701404013

Comparison of Detection Methods for<i>Aspergillus fumigatus</i>in Environmental Air Samples in an Occupational Environment

2007· article· en· W2052103847 on OpenAlexaff
H. Kenneth Dillon, D. Keith Boling, J. David Miller

Bibliographic record

VenueJournal of Occupational and Environmental Hygiene · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicIndoor Air Quality and Microbial Exposure
Canadian institutionsCarleton University
FundersNational Council for Air and Stream Improvement
KeywordsAspergillus fumigatusSporeMicrobiologyAspergillusFungusErgosterolExposure assessmentBiologyFood scienceMedicineBotanyEnvironmental health

Abstract

fetched live from OpenAlex

Methods to study occupational exposures to fungi and fungal materials in facilities where the dominant exposure is the pathogenic and allergenic fungus Aspergillus fumigatus are lacking. Air samples were collected near a conveyor in a wood chip recycling plant to compare methods that might be used to assess exposure to A. fumigatus or suitable proxies. These included total dust mass, total intact spores, culturable propagules growing > 35 degrees C, ergosterol, A. fumigatus allergen Asp f1, and quantitative polymerase chain reaction for A. fumigatus. Of these measurements, Asp f1 showed the most promise based on its relative response to measurements where there is a long history of use in industrial hygiene practice (total mass, ergosterol, total intact spores, culturable propagules).

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.354
Threshold uncertainty score0.923

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.352
Teacher spread0.312 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2007
Admission routes1
Has abstractyes

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