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Análise termográfica da temperatura superficial de telhas

2011· article· pt· W2053084799 on OpenAlex
P. G. de Abreu, Valéria Maria Nascimento Abreu, Arlei Coldebella, L. dos S. Lopes, V. da Conceição, I. L. Tomazelli

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista Brasileira de Engenharia Agrícola e Ambiental · 2011
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicEffects of Environmental Stressors on Livestock
Canadian institutionsTellabs (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Neste trabalho objetivou-se realizar imagens termográficas da superfície de telhas visando avaliar sua temperatura superficial. Os tratamentos mensurados se constituíram de: T1 -Telha Coppo Venneto Ondulada Cinza; T2 - Telha Coppo Venneto Ondulada Marfim; T3 - Telha Plana Marfim; T4 - Telha Plana Cinza; T5 - Telha de Barro Colonial esmaltada; T6 - Telha Ondulada de Cimento Amianto e T7 - Telha de Barro Francesa. Cada unidade experimental foi composta de três telhas sobrepostas uma sobre a outra, exceto no tratamento de telha ondulada de cimento amianto. O delineamento experimental foi em blocos casualizados com três repetições. Os dados coletados em cada horário foram analisados por meio do modelo de medidas repetidas, utilizando-se o procedimento MIXED do SAS. As temperaturas da superfície inferior das telhas foram muito parecidas ao longo do dia. As telhas com coloração marfim obtiveram melhores valores de temperatura superior e inferior que as telhas com coloração cinza, nas respectivas categorias. A telha de barro colonial obteve maior temperatura da superfície inferior que as demais telhas.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.473
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.029
GPT teacher head0.240
Teacher spread0.212 · 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