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Record W77094403

Fibra de soya II: caracterización de la fibra de soya obtenida de la cáscara del frijol (Glycine max) procedente de Canadá y Brasil

2003· article· es· W77094403 on OpenAlexaboutno aff
M. Rego Fernández, Maritza García, José Luis Ortiz Rodríguez, R Cortez Garcia, Olga L. Zerguera, G. Ramos González, Ivanía Rodríguez, Veneranda Mendez

Bibliographic record

VenueAlimentaria · 2003
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicAgricultural and Food Production Studies
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryFood science
DOInot available

Abstract

fetched live from OpenAlex

Se realizo la caracterizacion quimica y fisica de la fibra obtenida de la cascara del frijol de soya procedente de Canada (FS1) y Brasil (FS2). Se encontro un contenido de fibra dietetica total de FS1: 67,6% y de FS2: 75,7% en bs, valores medios de contenido de inhibidores de tripsina y de actividad ureasica de 36.865,4 UIT/g y 2,03 respectivamente para FS1, y de 4.867,7 UIT/g y 1,10 respectivamente para FS2, riqueza en minerales, sobre todo en potasio, FS1: 8.580 mg/kg y FS2: 12.230 mg/kg y en hierro, FS1: 422 mg/kg y FS2: 347 mg/kg respectivamente. La capacidad de retencion de agua fue para ambos productos de 5 g de agua/g de muestra y la capacidad de retencion de grasa de FS1: 2,08 y de FS2: 1,98 g de grasa/g muestra. El valor calorico de FS 1:1,22 Cal/g y FS2: 0,80 Cal/g son tipicos de estos productos que se destinan a la elaboracion de productos hipocaloricos.

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 score0.878
Threshold uncertainty score0.243

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
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 head0.009
GPT teacher head0.239
Teacher spread0.230 · 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

Citations0
Published2003
Admission routes1
Has abstractyes

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