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Indoor Air Quality in Nonindustrial Occupational Environments

2011· other· en· W2129093364 on OpenAlexaboutno aff
Philip R. Morey, Gary N. Crawford, Robert Rottersman

Bibliographic record

VenuePatty's Industrial Hygiene · 2011
Typeother
Languageen
FieldEnvironmental Science
TopicIndoor Air Quality and Microbial Exposure
Canadian institutionsnot available
Fundersnot available
KeywordsIndoor air qualityASHRAE 90.1Ventilation (architecture)Environmental healthEnvironmental scienceAir quality indexIndoor airArchitectural engineeringMedicineEnvironmental engineeringEngineeringGeographyMeteorology

Abstract

fetched live from OpenAlex

Abstract The study summarizes about the indoor air quality of the buildings. Historically, the concept of indoor air quality (IAQ) has included view points that outdoor ventilation air is required both to prevent adverse health effects and to provide for comfort of occupants. It has been observed that airborne contagious diseases and malodor are more prominent in the crowded places with deficient ventilation. The different approaches that can be used during IAQ evaluations reflect the varied kinds of problems that can occur in buildings. Higher morbidity and mortality in developing countries have multifactorial causes, with contaminated food, water, and air as major risk factors. An ASHRAE ventilation standard recommends the provision of outdoor air rate per person to lower the risk of diseases. The article focuses IAQ evaluation protocols and guidelines, Canadian and EPA guides, etc.

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)0.000
metaresearch head score (Gemma)0.000
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: Other · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.064
GPT teacher head0.281
Teacher spread0.217 · 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
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

Citations11
Published2011
Admission routes1
Has abstractyes

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