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Record W4393186271 · doi:10.38116/rtm32art10

Avaliação de impacto de eólicas offshore no Brasil

2024· article· pt· W4393186271 on OpenAlexaff
Roberta Mota Cavalcanti de Albuquerque Cox, Jorge Madeira Nogueira

Bibliographic record

Venuenot available
Typearticle
Languagept
FieldEngineering
TopicMarine and Offshore Engineering Studies
Canadian institutionsImpact
Fundersnot available
KeywordsEnvironmental science

Abstract

fetched live from OpenAlex

A transição energética é uma realidade mundial. No Brasil, o mercado já sinaliza interesse em investir em eólicas offshore, conforme pode ser observado por meio dos processos de licenciamento ambiental em andamento no Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renováveis (Ibama). Este artigo realiza uma avaliação de impactos ambientais (AIA) para esta tipologia na costa brasileira. Para tanto listaram-se as atividades de um complexo eólico offshore para as fases de planejamento, instalação e operação do empreendimento. A partir desse levantamento, faz-se a correlação com os impactos ambientais identificados na realização de atividades semelhantes já promovidas pela indústria offshore do Brasil (portos, exploração e produção de petróleo e gás). Por fim, comparam-se os resultados encontrados com impactos ambientais já relatados em empreendimentos deste tipo implementados no mar do Norte, no Reino Unido. Os resultados da análise indicam que, apesar do desenvolvimento de conhecimento significativo sobre a AIA de projetos de eólicas offshore, ainda há lacunas a serem preenchidas na consolidação de um eficaz procedimento para a mensuração do impacto desses empreendimentos.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.753
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.014
GPT teacher head0.260
Teacher spread0.246 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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