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CRESCIMENTO INICIAL E FERTILIDADE DO SOLO EM UM POVOAMENTO DE EUCALYPTUS GRANDIS FERTILIZADO COM BIOSSÓLIDO

2022· article· pt· W4383504415 on OpenAlexaff
Luciano Mendes Souza Vaz, José Leonardo de Moraes Gonçalves

Bibliographic record

VenueSitientibus · 2022
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicSoil Management and Crop Yield
Canadian institutionsOttawa Fertility Centre
Fundersnot available
KeywordsEucalyptusHorticultureChemistryBiologyBotany

Abstract

fetched live from OpenAlex

O presente trabalho objetivou avaliar o efeito da aplicação de doses crescentes de biossólido (5, 10, 15, 20 e 40 t ha-1) em um povoamento de Eucalyptus grandis. O experimento foi instalado na Esta- ção Experimental de Itatinga-ESALQ/USP, Itatinga, SP. Seis meses pós- aplicação do biossólido, para todos os tratamentos foi observada ele- vação dos teores de K, Ca e S, e redução das concentrações de Al, Fe e Mn, dependendo da dose de biossólido aplicada. Treze meses pós-apli- cação do biossólido, foram constatadas elevações do pH e elevação dos teores de P, Ca, K e S na camada 0-5 cm do solo, abaixo desta só os teores de S elevaram-se. Aos vinte e quatro meses de idade do eucalipto, a dose de 10 t ha-1 de biossólido, com ou sem suplementação de K, resultou num crescimento semelhante ao obtido com a fertilização mineral.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.240
Teacher spread0.219 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2022
Admission routes1
Has abstractyes

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