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Record W2762154390 · doi:10.1016/j.meatsci.2017.09.017

Application of Carnobacterium maltaromaticum as a feed additive for weaned rabbits to improve meat microbial quality and safety

2017· article· en· W2762154390 on OpenAlex
Amenan Prisca Nadege Kone, Juliana María Vélez Zea, Dominic Gagné, Dany Cinq-Mars, Frédéric Guay, Linda Saucier

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

VenueMeat Science · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMeat and Animal Product Quality
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsFood scienceListeria monocytogenesLactic acidAnaerobic exerciseListeriaMesophileAerobic bacteriaBiologyFood preservationStaphylococcus aureusEscherichia coliMicrobiologyBacteriaBiochemistry

Abstract

fetched live from OpenAlex

CFU/kg of feed). Overall, meat quality was not affected substantially by the treatment. Total Aerobic Mesophilic (TAM), Escherichia coli and other coliforms, Enterobacteriaceae, Staphylococcus aureus, Pseudomonas spp., Listeria spp. and presumptive lactic acid bacteria counts were evaluated on whole thighs stored under aerobic (0, 3, 6, 8days) and anaerobic (0, 5, 10, 15, 20days) conditions at 4°C. The results demonstrated that the microflora on refrigerated thighs was modulated by the addition of Micocin® (P<0.05) and that the most effective reduction of Listeria monocytogenes growth was observed with ground meat stored under anaerobic conditions at 4°C with a 2 Log difference at the end of a 15-day storage (P=0.025).

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score0.705

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.035
GPT teacher head0.297
Teacher spread0.262 · 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