Effect of Fermented Sausage Inoculated with Different Inoculum Concentration of Lactobacillus sake on Physicochemical Properties and Sensorial Quality
Bibliographic record
Abstract
The effects of different inoculum concentrations(104,106,108 cfu/g)of Lactobacillus sake on fermented sausage are studied,which include pH value,protein degradation,textural properties and sensorial evaluation.The pH values of sausages inoculated with Lactobacillus sake decrease with the increase of fermentation time and inoculum concentration,which is lower than that of control group(P0.05).Higher proteolysis extent is observed during fermentation of fermented sausage inoculated with Lactobacillus sake(P0.05).Due to higher acid production rate and extent,texture development of inoculated sausage is more rapid.Inoculated sausage exhibits higher hardness than control group(P0.05).Based on the sensory evaluation score,the sausage inoculum concentration of 106 cfu/g is more acceptable.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".