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Record W2493623134 · doi:10.5327/z2176-947820159114

COMPORTAMENTO ÓPTICO DE VIDROS E PELÍCULAS DE PROTEÇÃO SOLAR E SUA RELAÇÃO COM O CONFORTO AMBIENTAL

2015· article· pt· W2493623134 on OpenAlexaff
Regis de Castro Ferreira, Elza Glauce Pereira da Silva Alves

Bibliographic record

VenueRevista Brasileira de Ciências Ambientais · 2015
Typearticle
Languagept
FieldEnergy
TopicSolar Thermal and Photovoltaic Systems
Canadian institutionsMorgan Solar (Canada)
Fundersnot available
KeywordsPhysicsMaterials science

Abstract

fetched live from OpenAlex

Superfícies transparentes merecem especial atenção quando se trata doconforto ambiental de edificações, pois são elementos vulneráveis a ganhosde calor, principalmente em regiões tropicais. O presente trabalho tevecomo objetivo propor indicativos para o emprego apropriado de vidros epelículas de proteção solar para sua correta especificação, visando menorconsumo energético e melhor conforto ambiental em edificações. Para tal,foram avaliadas as propriedades espectrais de vidros e películas por técnicaespectrofotométrica e determinados os parâmetros de controle de ganho decarga térmica, a saber: fator solar (FS), ganho de calor solar (GCS), razão visível/infravermelho e coeficiente de sombreamento (CS). Os resultados mostraramque, para a correta escolha e especificação das superfícies transparentes,deve ser analisado o parâmetro GCS. Sugere-se, ainda, associar à essa análisevalores de transmissão (τ) no espectro visível acima de 30%.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.045
GPT teacher head0.287
Teacher spread0.243 · 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 designBench or experimental
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

Citations0
Published2015
Admission routes1
Has abstractyes

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