MétaCan
Menu
Back to cohort

Water Buffalo (Bubalus bubalis) and their Technological Advantages for the Design in Healthy Meat Product

2012· article· en· W2069101357 on OpenAlexvenueno aff

Bibliographic record

VenueJournal of Buffalo Science · 2012
Typearticle
Languageen
FieldMaterials Science
TopicNanocomposite Films for Food Packaging
Canadian institutionsnot available
Fundersnot available
KeywordsProduct (mathematics)Food sciencePreferenceShelf lifeRaw materialBubalusRed meatFood preferenceAgricultural scienceBusinessBiologyMathematicsMarketingStatistics

Abstract

fetched live from OpenAlex

Current trends in the formulation for new food shows that healthy or “functional” products are graduallyincreasing their participation in the preference of the consumers (Catalá Ramón). Nowadays, the participation of meatproducts in this behavior of the marketing is not growing at the same rate, because their ingredients and nutritionalcompounds, like saturated fats, which are rejected by consumers. But, a group of investigators from La Salle University(Universidad De La Salle, Bogotá, Colombia), have been working hard, in order to obtain healthier meat products, usingBufalo as the main raw material, because its important properties like 15 to 35% of protein, 40% more water holdingcapacity (CRA, in Spanish) and 30% more emulsifying capacity (CE in Spanish). Previous values are compared with rawbeef. The group, who has developed a functional buffalo meat product, added vegetal oil from soybeans and dehydratedhemoglobin to its formulation and obtained a food with 70% less of saturated fat and a significantly increase of iron,without affecting the non-saturated fat compound of the food. Now, a functional product packed in a "smart packaging" has been studied, in order to increase its shelf life, supported on positive migration process.

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)0.009
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.390

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.033
GPT teacher head0.293
Teacher spread0.261 · 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 designBench or experimental
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

Citations1
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Buffalo ScienceSame topicNanocomposite Films for Food PackagingFrench-language works237,207