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THE EFFECT OF EPIMYSIAL CONNECTIVE TISSUE ON FACTORS RELATED TO TENDERNESS OF BEEF <i>SEMITENDINOSUS</i>

2005· article· en· W1969277597 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

VenueJournal of Muscle Foods · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMeat and Animal Product Quality
Canadian institutionsAgriculture and Agri-Food CanadaUniversity of Alberta
Fundersnot available
KeywordsTendernessConnective tissueElastinAnimal scienceBiologyFood scienceAnatomy

Abstract

fetched live from OpenAlex

ABSTRACT Previous investigations have revealed consistently unacceptable levels of toughness in beef semitendinosus (ST; eye of round). It is possible that the fusiform architecture of the ST permits moisture loss during cooking as the epimysial connective‐tissue (CT) layer shrinks with heating. This investigation of the effects of the presence/absence of the epimysium demonstrated significantly ( P &lt; 0.01) greater shear values in samples with an intact external CT layer. However, the reduction in shear with epimysium removal was small (4.45%) and would not have been sufficient to bring a large proportion of ST steaks into the range of acceptable eating quality. The ST is atypical of skeletal muscle with regards to its biomechanical function and native elastin content, and this possible contributor to toughness requires further investigation in order to develop a suitable method for tenderness improvement.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.350
Threshold uncertainty score0.140

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.019
GPT teacher head0.274
Teacher spread0.256 · 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