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Record W2094337506 · doi:10.1080/11358120709487697

INSTRUMENTAL TEXTURE EVALUATION OF EXTRUDED SNACK FOODS: A REVIEW EVALUACIÓN INSTRUMENTAL DE TEXTURA EN ALIMENTOS EXTRUIDOS: UNA REVISIÓN

2007· review· es· W2094337506 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

VenueCiencia y Tecnologia Alimentaria · 2007
Typereview
Languagees
FieldNursing
TopicFood composition and properties
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsFood productsHumanitiesFood scienceArtChemistry

Abstract

fetched live from OpenAlex

Abstract Resumen Extrusion cooking technology is the most used technique for the production of snack foods. In such foods, texture is of major importance, with crispness being often a desirable attribute. Due to the high costs involved in sensory analysis, instrumental assessment of end-product texture, by fundamental and empirical techniques, has been a useful tool for food researchers and manufactures as it has been related to sensory evaluation. Among other tests, the texture analysis of expanded snacks has been performed through compression, penetration, acoustic procedures and texture profile analysis. Although this review has focused in instrumental techniques, texture evaluation of extruded snacks is a complex subject, where the combination of techniques involving sensory, instrumental and microstructure analysis would certainly be the best practice. From a practical perspective, empirical methods are suggested as an alternative to fundamental techniques, especially to food scientists and food manufactures interested in predict consumer perception of texture. La tecnologia de cocimiento por extrusión es la técnica mas utilizada para la producción de alimentos extruidos donde la textura es de especial importancia, siendo frecuentemente la crujibilidad el atributo más deseable. Debido a los altos costos del análisis sensorial, la evaluación instrumental de la textura en el producto final, utilizando técnicas fundamentales y empíricas, ha sido una herramienta útil para la investigación en alimentos y para la industria manufacturera ya que se ha correlacionado con la evaluación sensorial. Entre otras pruebas, el análisis de textura de alimentos extruidos se ha llevado a cabo por compresión, penetración, métodos acústicos y análisis de perfil de textura. Aunque esta revisión se enfoca a técnicas instrumentales, la evaluación de textura en alimentos extruidos es un problema complejo, donde la combinación de técnicas incluyendo análisis sensorial, instrumental y de microestructura podría ser la mejor forma de resolverlo. Desde un punto de vista práctico, los métodos empíricos se sugieren como una alternativa a las técnicas fundamentales, especialmente para científicos y productores de alimentos interesados en predecir la percepción de la textura por parte del consumidor. Palabras clave: Textura, extrusion, alimentos extruidos

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)0.012
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.949
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.086
GPT teacher head0.411
Teacher spread0.325 · 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