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Record W107130857 · doi:10.22358/jafs/70710/2005

Response of broiler chickens to <i>Lactobacillus</i> and<i>Bifidobacterium</i> probiotic strains

2005· article· en· W107130857 on OpenAlexaff
Andrzej Orłowski, M. Bielecka, Wanda Smoragiewicz, Signe Kask, J. Jankowski

Bibliographic record

VenueJournal of Animal and Feed Sciences · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsProbioticBroilerBiologyAntimicrobialBifidobacteriumMicrobiologyLactobacillusSalmonellaImmune systemFood scienceBacteriaImmunologyFermentation

Abstract

fetched live from OpenAlex

The effects of two Lactobacillus and two Bifidobacterium probiotic strains (given daily in an amount of 10 9 -10 10 live cells per bird, in water) as well as an antibiotic, avilamycin (8 mg/kg of diet), were determined.The live body weight of chickens in groups receiving probiotics or avilamycin (2625-2665 g) was higher than in the control group (2564 g), however the differences were not significant.The feed conversion ratio was significantly better in most of the investigated groups in comparison with the control.Chemical, physicochemical and sensory evaluation of the meat did not show significant differences between groups.The relatively high population count of Bifidobacterium and Lactobacillus in the control group (~10 8 cfu/g of caecal contents) was slightly lower in comparison with the investigated groups (10 8 -10 9 cfu/g).

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)0.001
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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.023
GPT teacher head0.241
Teacher spread0.217 · 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

Citations1
Published2005
Admission routes1
Has abstractyes

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