MétaCan
Menu
Back to cohort

Utilização de esgotos domésticos tratados através de um sistema biológico na produção de mudas de Croton floribundus Spreng. (Capixingui) E Copaifera langsdorffii Desf. (Copaíba)

2003· article· pt· W2168520462 on OpenAlexaff
Danielle Celentano, Iraê Amaral Guerrini, Vera Lex Engel, Guillaume Xavier Rousseau

Bibliographic record

VenueRevista Árvore · 2003
Typearticle
Languagept
FieldEnvironmental Science
TopicWastewater Treatment and Reuse
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHorticultureBiology

Abstract

fetched live from OpenAlex

O presente trabalho teve por objetivo o aproveitamento da água residuária proveniente de um sistema biológico de tratamento de esgotos domésticos como alternativa à fertirrigação convencional de viveiros florestais, visando a produção de mudas de Croton floribundus (capixingui) e Copaifera langsdorffii (Copaíba) via subirrigação. As variáveis avaliadas mensalmente foram altura e diâmetro do coleto da muda e, ao final do experimento, peso da matéria seca da parte aérea e da raiz, área foliar, razão parte aérea/ raiz, análise nutricional foliar, análises químicas do substrato antes e após o ensaio e análises nutricionais periódicas da água residuária. O crescimento das plantas, em geral, foi superior no tratamento convencional com adubos minerais. O desenvolvimento do sistema radicular foi favorecido no tratamento com água residuária, o que pode ser característica desejável para maior sobrevivência das mudas no campo. Os resultados mostraram que a água residuária pode ser utilizada na fertirrigação de viveiros para produção das espécies estudadas, pois todas as plantas se mostraram vigorosas, com bom desenvolvimento, sem mortalidade, deficiência ou toxidez. Entretanto, constatou-se que essas mudas necessitarão de um maior tempo no viveiro, quando comparadas com as produzidas com fertilizantes minerais.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.022
GPT teacher head0.259
Teacher spread0.237 · 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 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

Citations21
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueRevista ÁrvoreSame topicWastewater Treatment and ReuseFrench-language works237,207