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Record W2618716825 · doi:10.30969/acsa.v11i1.578

Variabilidade espacial de salinidade por sódio em área irrigada com resíduo líquido de frigorífico

2015· article· pt· W2618716825 on OpenAlexaff
Gilson Araújo de Freitas, Jaíza Francisca Ribeiro Chagas, Marllos Peres de melo, Rubens Ribeiro da Silva, Antônio Clementino dos Santos

Bibliographic record

VenueAGROPECUÁRIA CIENTÍFICA NO SEMIÁRIDO · 2015
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicGrowth and nutrition in plants
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

O objetivo deste estudo foi quantificar variabilidade espacial de salinidade por sódio em área irrigada com resíduo líquido de frigorifico em pastagens de Brachiaria brizantha cv. Marandu cultivadas em plintossolo. As coletas do solo foram realizadas em malha de amostragem regular com distâncias de 32 x 32 m numa área de 7,63 ha. Para a realização da amostragem, utilizou‑se uma rede de 63 pontos georreferenciados, sendo a amostragem de cada ponto composto por quatro subamostras de solo, coletadas na camada de 0 - 20 cm de profundidade, num raio de aproximadamente cinco metros ao redor do ponto principal. Os semivariogramas da salinidade do solo por sódio, se ajustaram ao modelo exponencial, com grau de dependência espacial (GDE), classe forte (99,9%). Os mapas confeccionados permitem identificar unidades de aplicação diferentes quanto à presença do sódio de acordo com as áreas de irrigação com resíduo liquido bovino. Essa regionalização surge como ferramenta auxiliar para o monitoramento da área da pastagem permitindo assim o manejo adequado da irrigação com resíduo líquido bovino.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.065
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.030
GPT teacher head0.244
Teacher spread0.214 · 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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueAGROPECUÁRIA CIENTÍFICA NO SEMIÁRIDOSame topicGrowth and nutrition in plantsFrench-language works237,207