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Seletividade de sálvia (Salvia splendens) ao herbicida oxyfluorfen veiculado à palha de arroz

2008· article· pt· W2066926779 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

VenuePlanta Daninha · 2008
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicWeed Control and Herbicide Applications
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsWeed controlHorticultureRandomized block designAgronomyBiology

Abstract

fetched live from OpenAlex

O manejo de plantas daninhas em canteiros de floríferas é um dos principais aspectos que interferem na manutenção dos jardins. Dessa forma, este trabalho teve como objetivo estudar a possibilidade de veiculação do oxyfluorfen à palha de arroz e a seletividade da sálvia (Salvia splendens), uma das principais floríferas produzidas e comercializadas no Brasil, ao herbicida. O delineamento experimental foi em blocos casualizados, no esquema fatorial 4 x 3, com quatro repetições. Os tratamentos foram quatro quantidades de palha de arroz (0, 4, 6 e 8 t ha-1) combinadas com três doses do herbicida oxyfluorfen (0, 1 e 2 L ha-1). Observou-se que os tratamentos que levaram à veiculação do herbicida (nas duas doses testadas e nas três quantidades de palha) apresentaram controle de plantas daninhas sem que efeitos fitotóxicos severos fossem observados nas plantas de sálvia. A pulverização direta do herbicida sobre o solo e as plantas de sálvia não se mostrou viável. O tratamento que proporcionou controle satisfatório de plantas daninhas sem causar danos às plantas de sálvia e que, por isso, pode ser recomendado foi o que recebeu o herbicida na dose de 2 L ha-1, veiculado a 4 t ha-1 de palha de arroz.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.824
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.224
Teacher spread0.202 · 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