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Record W3175574655 · doi:10.15202/25254146.2019v4n3p56

DESENVOLVIMENTO E IMPLEMENTAÇÃO DE SISTEMA ELETRÔNICO DE ALERTA DE CHUVAS PARA ÁREAS DE RISCO

2021· article· pt· W3175574655 on OpenAlexaff
Geraldo Motta Azevedo, Antônio José Dias da Silva, André Luís Da Silva Pinheiro, Vinícius Coutinho De Oliveira, Eliel Da Silva Macena

Bibliographic record

VenueProjectus · 2021
Typearticle
Languagept
FieldEnvironmental Science
TopicGeography and Environmental Studies
Canadian institutionsPROTO Manufacturing (Canada)
Fundersnot available
KeywordsPolitical scienceGeographyPhysics

Abstract

fetched live from OpenAlex

RESUMO
 Evitar acidentes, garantir o bem-estar e salvar vidas, tem sido uns dos principais desafios da engenharia moderna. O objetivo deste trabalho foi a criação e implementação de um modelo de pluviômetro, de baixo custo, utilizando um modelo digital, artesanal com comparadores lógicos programáveis e um circuito eletrônico de autoria própria, que associado a outros instrumentos de sinalização e alarme, venha colaborar na prevenção de acidentes oriundos de altos índices pluviométricos, em comunidades de baixa renda. Após montado e testado verificou-se que o protótipo atendeu satisfatoriamente a que se propôs.

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)0.001
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 score0.050
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.031
GPT teacher head0.284
Teacher spread0.254 · 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 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

Citations0
Published2021
Admission routes1
Has abstractyes

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