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Record W2110513362 · doi:10.5424/sjar/2012103-630-11

Short communication. Sensory evaluation of commercial beef produced in Uruguay and three European countries

2012· article· en· W2110513362 on OpenAlexfundno aff
R. San-Julián, M.M. Campo, G.R. Nute, F. Montossi, Maria Font‐i‐Furnols, Luís Guerrero, M.A. Oliver, C. Sañudo

Bibliographic record

VenueSpanish Journal of Agricultural Research · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMeat and Animal Product Quality
Canadian institutionsnot available
FundersAgencia Española de Cooperación Internacional para el DesarrolloInstituto Nacional de Investigacion Agropecuaria, UruguayIndigenous and Northern Affairs CanadaInstituto Nacional de Investigación y Tecnología Agraria y Alimentaria
KeywordsFlavourOrganolepticGermanAgricultural scienceAnimal scienceFood scienceGeographyBiology

Abstract

fetched live from OpenAlex

The main goal of this study was to characterize and compare the organoleptic quality of beef from Uruguay and from three European countries. In Uruguay, 40 Hereford steers were raised exclusively under grazing conditions up to either two or three years old. Meat samples were aged for 20 days, matching commercial conditions. In Europe, one commercial local beef type, with two ageing times (7 and 20 days), from Germany, Spain and the United Kingdom were compared with Uruguayan beef samples, using 20 animals of each treatment per country. The highest beef odour and flavour scores were for the British beef aged for 7 days followed by the German and Uruguayan meat. Beef from the youngest animals (Spanish) and, especially from the UK, were up to 42 and 62%, respectively, more tender than German beef, all of them aged for 7 days. The highest juiciness scores were for the Uruguayan three years old beef. Long ageing periods (20 days) tended to produce off-aromas in the case of the British beef, which showed the highest scores in abnormal odour flavour intensities. European beef showed a significant variability in its sensory attributes that could not be justified only by differences in the ageing time. Uruguayan beef has meat with similar sensory characteristics to some European meats, and because of that it could have good consumer acceptability.

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)0.015
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.599
Threshold uncertainty score0.523

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.001
Meta-epidemiology (narrow)0.0000.000
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)0.0000.000

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 head0.265
GPT teacher head0.392
Teacher spread0.128 · 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 designObservational
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

Citations2
Published2012
Admission routes1
Has abstractyes

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