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Record W2610621190 · doi:10.25070/rea.v2i2.35

EFICIÊNCIA TÉCNICA NA PRODUÇÃO DE LEITE EM PEQUENAS PROPRIEDADES DA MICRORREGIÃO DE VIÇOSA.

2015· article· pt· W2610621190 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista de Economia e Agronegócio · 2015
Typearticle
Languagept
FieldEnvironmental Science
TopicRural Development and Agriculture
Canadian institutionsNutrasource
Fundersnot available
KeywordsPhysicsMathematicsHumanitiesMaterials scienceArt

Abstract

fetched live from OpenAlex

Neste trabalho, avaliou-se a eficiência técnica em pequenas propriedadesprodutoras de leite da Microrregião de Viçosa, MG, assistidas no âmbito do convênioUFV/Nestlé (PDPL). Essas propriedades foram classificadas segundo o tamanho e ograu de sangue do rebanho, propondo medidas com vistas ao uso mais eficiente dosrecursos produtivos. Utilizou-se um modelo de Análise Envoltória de Dados (DEA)para identificar as propriedades eficientes e ineficientes. Verificou-se que a maioria daspropriedades, sob a pressuposição de retornos variáveis, foi eficiente, enquanto sob apressuposição para retornos constantes, ineficiente. Observou-se que as propriedades,no período de 1999-2003, tornaram-se mais semelhantes, ou seja, evoluíram para padrõesde maior eficiência técnica em seus processos produtivos.

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.

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)0.002
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.005

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 head0.022
GPT teacher head0.230
Teacher spread0.209 · 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