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Record W2043858873 · doi:10.5539/jas.v4n4p171

The Role of Ground in the Energy Management inside a Broiler House

2012· article· en· W2043858873 on OpenAlexvenueno aff
Grzegorz Nawalany

Bibliographic record

VenueJournal of Agricultural Science · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEffects of Environmental Stressors on Livestock
Canadian institutionsnot available
Fundersnot available
KeywordsBroilerEnvironmental scienceHeat fluxLitterMeteorologyAtmospheric sciencesAnimal scienceGeographyHeat transferEcologyMechanicsPhysicsBiology

Abstract

fetched live from OpenAlex

The article confirms the hypothesis that appropriate utilization of heat capacity of ground beneath a broiler house and in its vicinity may support the management of indoor thermal conditions. The research was conducted in a broiler house situated in the south of Poland. The broiler house, with a production hall of 1,000 m2, was bred with Ross chickens. A detailed analysis was conducted for selected 2 production cycles: a summer and a winter one, including technological breaks. Air and ground temperature distribution was presented in a graphic form. Also, temperature fields in the ground and heat flux directions were established. In the summer periods, the ground beneath the building acts as the main, and sometimes the sole, receiver of heat surplus from the litter. The established directions of heat flux in the ground in winter suggest that it is possible to limit heat losses from the ground beneath the broiler house to the outside zone. Heat losses in winter may be decreased by insulating foundations. This will not interfere with the outflow of heat surplus from the broiler living area.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.196
Teacher spread0.189 · 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 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

Citations3
Published2012
Admission routes1
Has abstractyes

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