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Fertilidade química de um substrato tratado com lodo de esgoto e composto de resíduos domésticos

2010· article· pt· W2085349912 on OpenAlex
Rodrigo Studart Corrêa, Lucas C. R. Silva, Gustavo Macêdo de Mello Baptista, Perseu F. Santos

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 Brasileira de Engenharia Agrícola e Ambiental · 2010
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicGrowth and nutrition in plants
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsChemistry

Abstract

fetched live from OpenAlex

O aproveitamento de resíduos urbanos como fontes de matéria orgânica e nutrientes contribui para diminuir a pressão das sociedades modernas sobre o meio ambiente. Por outro lado, a incorporação de matéria orgânica é um meio de se criarem condições edáficas para o estabelecimento de plantas em solos degradados e substratos expostos. Este trabalho visou avaliar a fertilidade e a cobertura vegetal (Paspalum notatum var. saurae Parodi) de um substrato exposto à superfície, tratado com doses crescentes (0 - 76 Mg ha-1, base seca) de lodo de esgoto ou composto de resíduos domésticos. Os resultados indicam que o lodo de esgoto foi capaz de aumentar a CTC e as concentrações de N, P e Zn no substrato enquanto não houve incrementos significativos desses nutrientes no substrato tratado com o composto de resíduos domésticos. A cobertura vegetal do substrato variou de 68 a 96% nos tratamentos com lodo (resposta assintótica) e entre 22 e 67% nos tratamentos com composto (resposta linear), de acordo com a dose aplicada. Valores de CTC e concentrações de N, P e Zn explicaram 94% da variação da cobertura vegetal sobre a superfície da área.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.522
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
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.017
GPT teacher head0.251
Teacher spread0.235 · 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