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ELASTIC DEFORMATION IN PROBE MEASUREMENTS ON BEEF CARCASSES

2001· article· en· W2038105739 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 · 2001
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMeat and Animal Product Quality
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsConnective tissueLongissimus ThoracisAdipose tissueAnatomyTendernessDeformation (meteorology)ForelimbChemistryMaterials scienceBiologyComposite materialPathologyMedicineFood scienceBiochemistry

Abstract

fetched live from OpenAlex

ABSTRACT Beef carcasses were probed through the forelimb flexors, the triceps brachii, the width of the M. longissimus thoracis et lumborum (LD), and the depth of the LD. The objective was to measure elastic deformation from the distortion of optical signals. Strong reflectance at 550 nm combined with weak ultraviolet fluorescence indicated adipose tissue, while strong reflectance combined with strong fluorescence indicated connective tissue. Connective and adipose tissue peaks were examined relative to depth in the carcass. Elastic deformation was detected when way‐in (insertion) peaks were deeper in the carcass than way‐out (withdrawal) peaks, indicating tissue compression in advance of the probe tip. Connective tissue was deformed more than adipose tissue. Whether or not this method can be used to assess meat softness or tenderness on‐line remains to be seen.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
Threshold uncertainty score0.136

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 head0.107
GPT teacher head0.285
Teacher spread0.178 · 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