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Record W2317355189 · doi:10.7451/cbe.2012.54.3.1

Measured and predicted temperatures in a grain processing building under heat treatment – 1. Temperature profiles during heat treatment

2012· article· en· W2317355189 on OpenAlexafffundvenueabout
Fuji Jian, Paul G. Fields, Digvir S. Jayas, N. D. G. White, M. Loganathan

Bibliographic record

VenueCanadian Biosystems Engineering · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Pest Control Strategies
Canadian institutionsAgriculture and Agri-Food CanadaUniversity of Manitoba
FundersAgriculture and Agri-Food Canada
KeywordsThermodynamicsMaterials scienceEnvironmental sciencePhysics

Abstract

fetched live from OpenAlex

Measured and predicted temperatures in a grain processing building under heat treatment -1.Temperature profiles during heat treatment.Canadian Biosystems Engineering/Le génie des biosystèmes au Canada 54: 3.1-3.8.Heat treatment is an effective method of controlling pest insects in grain processing facilities.Temperatures inside a heat-treated flour-storage building and temperatures of wheat, oats, wheat flour, and oat flour in piles or tubes, 0.15 m high, on a concrete floor inside the building, were measured during a 20-h time period of heat treatment.The room temperature at different locations had the same distribution pattern in the vertical direction despite the presence of circulating fans at different locations of the room.Temperature gradients in the vertical direction decreased with increasing height.The maximum and mean temperature gradients above the surface of the concrete floor, in the absence of grain, were 5.4°C/cm and 3.6±0.0°C/cm;respectively.The room temperatures at higher locations varied less than those at lower locations.Moreover, after the surface grain temperature reached 97% of its maximum temperature, it was influenced by the local temperature and periphery configuration.Key words: Heat treatment, grain-processing building, temperature.Le traitement thermique est une méthode efficace de lutte contre les insectes ravageurs dans les installations de transformation des céréales.Pendant un traitement thermique dans un entrepôt de farine, nous avons mesuré les températures ambiantes ainsi que celles du blé, de l'avoine, de farine de blé et de farine d'avoine, soit en tas ou en tubes de 0,15 m de hauteur, sur un plancher de béton à l'intérieur de l'entrepôt tout au long des 20 heures du traitement.Les températures ambiantes à divers endroits avaient la même distribution dans le sens vertical, malgré la présence de ventilateurs à différents endroits de la salle.Les gradients de température dans la direction verticale ont diminué avec la hauteur.Le maximum et la moyenne des gradients de température au-dessus de la surface du plancher de béton, sans grain, étaient de 5,4 °C / cm et 3,6 ± 0,0 °C / cm; respectivement.Les températures ambiantes aux endroits les plus élevés variaient moins que celles aux endroits moins élevés.De plus, après que la température du grain de surface ait atteint 97 % de sa température maximale, elle a été influencée par la température locale et la configuration périphérique.Mots clés:

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 score0.030
Threshold uncertainty score0.061

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.183
Teacher spread0.173 · 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 routes4
Has abstractyes

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