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Record W1985107388 · doi:10.4141/a00-092

Alternatives for enrichment of eggs and chicken meat with omega-3 fatty acids

2001· article· en· W1985107388 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.

venuePublished in a venue whose home country is Canada.
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

VenueCanadian Journal of Animal Science · 2001
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsnot available
FundersConsejo Nacional de Ciencia y Tecnología
KeywordsCanolaFood scienceFish oilFish mealBiologyMealLimitingFish <Actinopterygii>Fishery

Abstract

fetched live from OpenAlex

Interest on the enrichment of eggs and poultry meat with omega-3 fatty acids (n-3 FA) has increased given their important role in human metabolism. The inclusion of n-3 FA into eggs and poultry meat is achieved by feeding ingredients such as flaxseed, fish oil, fish meal, marine algae and canola to birds. However, problems in various production parameters and sensory quality of eggs and meat may arise. The former possibly caused by antinutritional and physiological effects and the latter influenced by the interaction of volatile substances. Possible increases in formulation costs also deserve attention. Strategies to ameliorate these undesirable effects include limiting the inclusion levels of n-3 FA sources, time of feeding, mixing different n-3 FA sources in commercial rations, and including high levels of vitamin E along with high-quality ingredients. A mild heat treatment may eliminate some of the drawbacks of feeding flaxseed to birds. Key words: Omega-3, flaxseed, flax, menhaden oil, eggs, chicken meat

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 score0.928
Threshold uncertainty score0.257

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 studies0.0000.001
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 head0.025
GPT teacher head0.253
Teacher spread0.228 · 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