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Faixa de suficiência para a cultura do algodão no centro-oeste do Brasil: II. micronutrientes

2012· article· pt· W4235270146 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

VenueCiência Rural · 2012
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicSoil Management and Crop Yield
Canadian institutionsNutrition International
Fundersnot available
KeywordsGossypium hirsutumHorticultureBiologyPhysics

Abstract

fetched live from OpenAlex

Com o objetivo de estabelecer a faixa de suficiência dos micronutrientes para o algodoeiro, foi utilizado o método da chance matemática para dados de monitoramento nutricional de três localidades produtoras de algodão no cerrado brasileiro, avaliando 152 áreas. O método da chance matemática foi adequado para estabelecer padrões de referência nutricional no algodoeiro, podendo subsidiar parâmetros que a pesquisa convencional não alcançaria em curto espaço de tempo. As faixas encontradas para os micronutrientes com o método da chance matemática tendo como referência a produtividade de 4000kg ha-1 foram, em mg kg-1, de 41-89; 4-14; 90-230; 23-110 e 25-50 para B, Cu, Fe, Mn e Zn, respectivamente, enquanto para a produtividade de 4500kg ha-1 foram, em mg kg-1, de 53-83; 4-12; 110-440; 40-60 e 25-50 para B, Cu, Fe, Mn e Zn, respectivamente. As faixas indicadas, embora semelhantes às recomendações existentes, demonstram aperfeiçoamento para obtenção de altas produtividades. As limitações do método poderão ser atenuadas com a ampliação do sistema de monitoramento nutricional nas lavouras de algodoeiro.

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), 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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.018
GPT teacher head0.238
Teacher spread0.220 · 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