Kimchi
Bibliographic record
Abstract

 Background: The increasing number of kimchi consumers in Metro Vancouver raises food safety concerns over the kimchi being out in the ambient temperature. Although kimchi is known to have lactic acid pro-ducing bacteria as its normal flora, environmental health officers have no specific reference to the change in pH with respect to time. The purpose of this study was to understand the rate at which kimchi ferments at different temperatures and determine whether kimchi is a hazardous food or not. Methods: Freshly made kimchi at researcher’s residence were divided into two groups; 4 oC and 25 oC. 30 samples for each set with equal amounts were left at these two different conditions. PH and temperature were measured at the time of separation and for three weeks weekly using the Waterproof Palm pH analyzer. Results: There was a steeper decline in the 25 oC set compared to 4 oC. It took some time between 22 hours and 34 hours for 25 oC set to show a drop in pH. On the other hand, 4 oC set did not show a significant decline in pH within the time period of the experiment.
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 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 | 0.001 | 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) | 0.001 | 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".