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Record W2042560123 · doi:10.4141/cjas07004

Comparison of effects of <i>Isotricha</i> monofauna and total mixed fauna on dietary copper metabolism in lambs

2007· article· en· W2042560123 on OpenAlexvenueno aff
M. Ivan and T. Entz

Bibliographic record

VenueCanadian Journal of Animal Science · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsRumenAnimal scienceBioavailabilityPopulationFaunaBiologyCopperSilageMetabolismChemistryFood scienceBiochemistryEcology

Abstract

fetched live from OpenAlex

Three groups of 15 fauna-free (FF) lambs each were used to establish the effects of Isotricha sp. (IS) monofauna on the dietary copper (Cu) solubility in the stomach and on the concentration of Cu in the liver. One group remained FF (control) while the second and third groups were inoculated with IS and total mixed fauna (TF), respectively. All lambs were fed ad libitum a corn silage based diet for 168 d. Thereafter, the lambs were killed and livers, kidneys and stomachs were removed and sampled. Different fauna treatments did not affect (P > 0.1) growth performance parameters. In comparison with the FF sheep, both the TF and IS decreased (P < 0.05) the rumen solubility of Cu, but the decrease by IS (23%) was approximately half of that of TF (41%; P < 0.05). Similarly, TF and IS decreased the liver Cu concentration by 15% (P < 0.1) and 7.5% (P > 0.1), respectively. Although TF that significantly decreased the bioavailability of dietary Cu included IS and Dasytricha species, it appears that an absence of these Holotrich protozoa from the rumen protozoa population would not have a significant effect on the efficiency of the population to alleviate chronic copper toxicity in sheep. Key words: Isotricha, rumen, ciliate protozoa, lambs, copper

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.022
GPT teacher head0.263
Teacher spread0.240 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2007
Admission routes1
Has abstractyes

Explore more

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