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Análise termográfica da temperatura superficial de telhas

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

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.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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

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

Citations16
Published2011
Admission routes1
Has abstractyes

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