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Record W2624197332 · doi:10.30969/acsa.v5i1.51

INCLUSÃO DE JITIRANA NA COMPOSIÇÃO QUÍMICOBROMATOLÓGICA DE SILAGEM DE SORGO

2010· article· pt· W2624197332 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

VenueAGROPECUÁRIA CIENTÍFICA NO SEMIÁRIDO · 2010
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicPhytochemistry Medicinal Plant Applications
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHorticultureBiology

Abstract

fetched live from OpenAlex

Este ensaio foi realizado no Departamento de Ciências Animal da Escola Superior de Agricultura de Mossoró- RN, com o objetivo de avaliar os efeitos da inclusão de níveis crescentes de forragem de jitirana (Merremia aegyptia L.), no valor nutritivo da silagem de sorgo (Sorghum bicolor L). O delineamento experimental usado foi o inteiramente casualizado com seis tratamentos e três repetições. Os tratamentos consistiram de silagens de sorgo, contendo 0,10,20,30,40 e 50% de forragem de jitirana com base na matéria verde. O material permaneceu ensilado por 65 dias em silos experimentais de sacos plásticos. Determinaram-se os teores de matéria seca (MS), proteína bruta (PB), resíduo mineral (RM), extrato etéreo (EE) e energia bruta (Kcal/kg). A inclusão de níveis crescentes de jitirana na silagem do sorgo melhorou o valor nutritivo desta silagem, produzindo ganhos em proteína, extrato etéreo, energia bruto, porém diminuição nos teores de matéria seca.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.568
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.002
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 head0.011
GPT teacher head0.239
Teacher spread0.228 · 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