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Record W2155169879 · doi:10.13031/2013.21989

CHARACTERISTICS OF NORTH AMERICAN MEAT AND BONE MEAL RELEVANT TO THE DEVELOPMENT OF NON-FEED APPLICATIONS

2006· article· en· W2155169879 on OpenAlex
Rafael A. García, Kurt A. Rosentrater, Rilner Alves Flores

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueApplied Engineering in Agriculture · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMeat and Animal Product Quality
Canadian institutionsnot available
FundersEuropean CommissionAdobe Systems
KeywordsMeat and bone mealRendering (computer graphics)Raw materialAnimal feedMealThermal diffusivityEnvironmental scienceFood scienceAnimal scienceMaterials scienceBiologyComputer scienceFish mealPhysics

Abstract

fetched live from OpenAlex

Unmarketable animal tissues are typically processed by rendering plants, which transform them into meat andbone meal (MBM) or similar products. MBMs traditional use as animal feed has become increasingly threatened, but MBMhas potential for non-feed applications. Development of new products and processes is hindered by lack of reliable data onmany of MBMs chemical and physical properties. MBM samples, as well as data on raw material and process, were collectedfrom 19 rendering facilities in the United States and Canada. A large majority of the raw material was tissue from cattle, swine,and poultry. All facilities surveyed practiced continuous dry rendering; 89% of the facilities use continuous cookers and 11%use falling film evaporators. MBM is high in protein (44.6-62.8%, mfb), but this protein is poorly soluble; at pH 7 solubilityranged from 2.20% to 7.22%. Among all samples, the particles median geometric mean diameter was 387 .m, and the sizedistribution was broad. The median density of MBM particles was 1.41 (g/mL); median density of MBM in bulk ranged from0.50 g/mL when loose-filled to 0.68 g/mL when packed. pH values of the samples ranged from 5.89 to 7.19, and samplescontaining the most cattle tissue had the highest pH. Thermal diffusivity and thermal conductivity values for both loose-filledand packed MBM are reported, as well as CIE L*a*b* color values.

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)0.000
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 score0.957
Threshold uncertainty score0.151

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.007
GPT teacher head0.185
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