Existence oF Salmonella sp. in Beef Meat In Sangatta, Kutai Timur District
Bibliographic record
Abstract
Based on microbiological aspects, product of an animal food safe to be consumption if not contain microbial pathogens, microbial that can cause health problems of humans to whom comsume it, one of the pathogenic bacteria that often found on beef is a salmonella sp. Research aimed to determine the existence of bacteria Salmonella sp from slaughterhouse, abattoir and traditional market in Sangatta East Kutai regency. Parameter research parameter of observation was to determine whether there are bacteria Salmonella sp (positive / negative) on beef samples and how much percentage (%) the existence of Salmonella sp on beef samples. obtained data for each test were analyzed by descriptive approach. Based on research results on 20 beef samples both from slaughterhouses, abattoir, and sold in Sangatta traditional market not indicate the existence of bacteria Salmonella sp (negative), possibility it is because growth of bacteria Salmonella sp still low and does not have the ability to compete with bacteria lactic acid (Streptococcus, Lactobacillus, Aeromonas, Acenetobacter, Pseudomonas) so that growth will be obstructed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".