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Record W2100189104 · doi:10.5380/acd.v15i2.38322

DETERMINATION OF NUTRITIONAL CHEMISTRY OF PUMPKIN SEEDS (Cucurbita spp, Cucurbitaceae ) COMMERCIALLY SALTED in Curitiba PR, BRAZIL

2014· article· pt· W2100189104 on OpenAlexaff
Erivone Orso RAMONI, María Eugenia BALBI, Fonseca Faria, Bérengère Lutz, Gisele Cavalcante Morais

Bibliographic record

VenueVisão Acadêmica · 2014
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicAgricultural and Food Sciences
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsCucurbitaceaeCucurbitaFood scienceHorticultureBiologyChemistryBotany

Abstract

fetched live from OpenAlex

As abóboras (Cucurbita spp, Cucurbitaceae) são muito utilizadas na alimentação humana devido seu elevado valor nutricional, porém nem todas as suas partes são aproveitadas, como as sementes. São utilizadas há muito tempo na medicina popular como vermífugo. Fatores como propriedades nutricionais, sabor agradável ao paladar, fácil acesso e baixo custo são alguns fatores que contribuem para que sementes de abóbora façam parte da alimentação diária da população seja ela na forma de complemento ou como snacks. Pensando nisso verificou-se a composição química e nutricional da semente de abóbora (Cucurbita spp) comercializadas salgadas, para comprovar dados da literatura em relação aos seus efeitos, e a quantidade de sódio presente. O elevado teor de fibras encontrado (29,01g±0,28) sugere a eficácia das sementes de abóbora na ação hipoglicemiante e laxativa e o baixo teor de carboidratos (5,36g) sugere seu consumo como benéfico para diabéticos, visto que necessitam de dietas com baixos teores de carboidratos. No entanto, por serem estas comercializadas salgadas, seu consumo deve ser de forma moderada uma vez que uma porção perfaza 23% do valor diário permitido de sódio.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.786
Threshold uncertainty score0.742

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.018
GPT teacher head0.251
Teacher spread0.233 · 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 teacher head, 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

Citations3
Published2014
Admission routes1
Has abstractyes

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