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Record W3157128824

OTIMIZAÇÃO E DESENVOLVIMENTO BRASILEIRO NO SISTEMA DE CONSTRUÇÃO CIVIL: CONCRETO PVC

2017· article· pt· W3157128824 on OpenAlexaboutno aff
Vinnycius Ademar Santos Camargos Rodrigues, Charles Müller Nobre da Silva Marques, Érika Paiva Tenório de Holanda, Felipe Bonfim Cavalcante do Nascimento

Bibliographic record

VenueCaderno de Graduação - Ciências Exatas e Tecnológicas - UNIT - ALAGOAS · 2017
Typearticle
Languagept
FieldSocial Sciences
TopicAcademic Research in Diverse Fields
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhysicsPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

O sistema construtivo Royal (Concreto-PVC) nasceu da uniao de dois dos mais importantes materiais utilizados na construcao civil, o Concreto e o PVC, sendo um composto de encaixes, muitas vezes pre-moldados. O presente trabalho pretende fazer uma revisao bibliografica sobre o sistema de PVC aplicado nas obras de construcao civil que estao apresentando alto desempenho. O estudado, torna-se util pelas caracteristicas do PVC por sua estanqueidade, facil limpeza, resistencia mecânica e quimica e elevada durabilidade e a eficiencia comprovada do concreto e suas constantes melhorias tecnicas. O sistema foi desenvolvido no Canada, esta presente no Brasil desde 2002, sendo a primeira obra construida em 1998. O primeiro fabricante se estabeleceu no MERCOSUL, por sua montagem facil o sistema e muito utilizado e ao chegar ao Brasil logo apos a primeira construcao em 1998, esse material teve uma utilizacao explosiva, por apresentar uma maneira inovadora de projetar e construir.

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 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)0.009
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.455
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.018
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0080.008
Scholarly communication0.0030.002
Open science0.0100.003
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0080.004

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 head0.154
GPT teacher head0.399
Teacher spread0.245 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueCaderno de Graduação - Ciências Exatas e Tecnológicas - UNIT - ALAGOASSame topicAcademic Research in Diverse FieldsFrench-language works237,207