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Effect of Complex Food Environment on Production of Enteriocin IN 3531 with <i>Enterococcus faecium </i>IN3531 as a Starter in Chinese Fermentation Paocai Making

2014· article· en· W2035020731 on OpenAlex
Wen Li Liu, Lanwei Zhang, John Shi, Hua Xi Yi

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

VenueAdvanced materials research · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicProbiotics and Fermented Foods
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsEnterococcus faeciumStarterFermentationFood scienceBacteriaEnterococcusBiologyChemistry

Abstract

fetched live from OpenAlex

Enterococcus faecium IN3531 has beensuccessfully confirmed to have no disease-causing factors and antibioticresistance and it had been confirmed that the ability to produce bacteiocins inMRS. In this study, the effects of the complex food environment in Chinese fermentationpaocai making on Enteriocin IN3531 production were studied. It was concludedthat the complex food environment didn’t thoroughly interferes with bacteriocinproduction levels. Results obtained showed that the suitable fermentationconditions for enterocin IN3531 production in Chinese fermentation paocai makingusing Enterococcus faecium IN3531 asa starter were the initial salt concentration of 2%, the inoculum size of 3%,the fermentation temperature of 35 °C, the ratio of material to liquid of 30%, fermentationtime of 108 hours.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.230
Threshold uncertainty score0.317

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.025
GPT teacher head0.303
Teacher spread0.278 · 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