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Inserção do biodiesel na matriz energética brasileira: aspectos técnicos e ambientais relacionados ao seu uso em motores de combustão

2007· dissertation· pt· W1484978210 on OpenAlexaff
Mauro Alves dos Santos

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldEngineering
TopicBiodiesel Production and Applications
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsBiodieselEnvironmental sciencePhysicsEngineeringWaste managementChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

\n O biodiesel pode ser obtido a partir de óleos vegetais, gorduras animais ou óleos residuais por meio de reação com etanol ou metanol e destaca-se entre as fontes renováveis de energia apontadas como solução para aumentar a segurança no suprimento de energia e minimizar alguns problemas ambientais decorrentes do uso de combustíveis derivados do petróleo.Torna-se necessário então, avaliar as propriedades dos diferentes tipos de biodiesel obtidos a partir de diferentes matérias-primas e processos que convergem ou divergem das especificações requeridas, quais são as desvantagens do ponto de vista ambiental e de desempenho do motor e suas possíveis soluções. Este trabalho teve por objetivo estudar os aspectos técnicos e ambientais relacionados ao seu uso em motores de combustão.\n

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), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.003

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 head0.018
GPT teacher head0.286
Teacher spread0.268 · 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 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

Citations4
Published2007
Admission routes1
Has abstractyes

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