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Record W3024295552 · doi:10.13031/trans.13325

Bench-Scale Pig Buildings: Validation of a Model for Studying Airborne Contaminants of Concern for Human and Animal Health

2020· article· en· W3024295552 on OpenAlex
Valérie Létourneau, Caroline Duchaine, Martin Belzile, Matthieu Girard, S.P. Lemay, Stéphane Godbout

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTransactions of the ASABE · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicIndoor Air Quality and Microbial Exposure
Canadian institutionsnot available
Fundersnot available
KeywordsIndoor bioaerosolEnvironmental scienceContaminationManureWaste managementEnvironmental engineeringEnvironmental chemistryEngineeringBiologyEcologyChemistry

Abstract

fetched live from OpenAlex

Highlights Bench-scale pig buildings are suitable for studying airborne contaminants of commercial pig buildings. Multi-replicate designed experiments are possible using bench-scale pig buildings (experimental chambers). Strategies to reduce airborne contaminants may be developed in a timely and cost-effective way using the chambers. Abstract. Pig buildings produce and emit large amounts of airborne contaminants into the environment. Odors, gases, dust, and bioaerosols are responsible for the emergence of infectious, toxic, and inflammatory diseases diagnosed in animals, workers, and surrounding communities. There is therefore a need for better characterization and mitigation of airborne contaminants in commercial pig buildings. Bench-scale pig buildings could be used for the development and evaluation of reduction strategies for airborne contaminants in a timely and cost-effective manner before scaling them up for commercial use. Six bench-scale pig buildings were designed for growing animals (commercial diet and fully slatted concrete floor) and for producing odors, gases, dust, and bioaerosols from various sources (e.g., feed, manure) and animal activities. The validation of the six identical, environmentally controlled, independently ventilated and sealed bench-scale pig buildings (7.1 m 3 , 42 air changes per hour) is reported here. The validation implied inter-building and longitudinal (between week) comparisons of concentrations of airborne contaminants. Environmental conditions, methane (CH 4 ), carbon dioxide (CO 2 ), nitrous oxide (N 2 O), ammonia (NH 3 ), and airborne microorganisms (total bacteria and archaea, Clostridium perfringens, Enterococcus spp., and Escherichia coli) were monitored for seven weeks in the six bench-scale pig buildings. The experiment was repeated three times. From week to week, data analysis showed that environmental conditions, gases, odors, and airborne microbial concentrations were non-statistically different between buildings. By the end of the seven-week experiment, concentrations of N 2 O, NH 3 , Enterococcus, E. coli, and archaea were higher than during week 1 in all buildings (p < 0.05). Airborne gases, odors, and microbial concentrations were equivalent to those found during the Canadian summer in commercial finishing pig buildings. In conclusion, the designed bench-scale pig buildings may serve for multi-replicate experiments and for studying airborne contaminants found in commercial pig buildings. Keywords: Airborne contaminant, Bioaerosols, Dust, Gas, Odor, Pig building.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.237
Threshold uncertainty score0.224

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)0.0000.000

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 head0.063
GPT teacher head0.301
Teacher spread0.238 · 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