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Effects of dietary algal supplementation on bovine immunity (39.50)

2009· article· en· W101079792 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

VenueThe Journal of Immunology · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeaweed-derived Bioactive Compounds
Canadian institutionsNova Scotia Department of AgricultureAgriculture and Agri-Food CanadaOntario Tech University
Fundersnot available
KeywordsBiologyAlgaeImmunityFood scienceKeyhole limpet hemocyaninImmunizationAnimal scienceImmune systemBotanyImmunology

Abstract

fetched live from OpenAlex

Abstract Marine algae are primary producers of long chain omega-3 fatty acids and can serve as novel dairy feed supplements with the added potential to influence bovine immunity. Our objective was to assess the immunomodulatory impact of dietary supplementation with different algal types (macroalgae and microalgae). Effects of dietary algal supplementation were examined using a crossover design and a 28 day feeding period with each algal type. Primary immunization with Keyhole Limpet Hemocyanin (KLH) was carried out 8 days into the trial, with secondary immunization 14 days later. KLH-specific serum IgG responses were significantly higher in cows receiving macroalgae-supplemented feed than in cows receiving microalgae-supplemented feed. In contrast, cows receiving microalgae-supplemented feed showed significantly higher levels of macrophage oxidative burst activity in response to PMA challenge in vitro. These results suggest that dietary supplementation with algal products has immunomodulatory potential and also indicates that the effects on cellular and humoral immunity are dependent on the type of algae used. Funded by the Atlantic Innovation Fund.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.742
Threshold uncertainty score0.148

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 head0.017
GPT teacher head0.246
Teacher spread0.230 · 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