Physicochemical Properties of Gariss from Two Production Sites under Two Management Systems: A Comparative Study
Bibliographic record
Abstract
The objective of the present study was to elucidate the differences between physicochemical properties of gariss samples procured from two different production sites in two different management systems (i.e. traditional system Kordofan site and semi-intensive system Khartoum site). The effect of the season in which gariss samples collected was studied. Gariss samples from the two production sites were collected in different season, namely summer, autumn and winter. Means of the physicochemical properties of gariss collected in autumn (Kordofan), summer (Khartoum), and winter (Khartoum and Kordofan) were determined, and then the age of gariss was documented when the samples were collected. The period of camel milk fermentation was the age of gariss which was reported by the persons responsible for gariss production. Four different ages of gariss were registered (5-8hrs, 12hrs, 48hrs and more than 48hrs). Each fermentation time (age of gariss) was analyzed for the physicochemical properties. Gariss prepared from different locations and in different seasons in Kordofan and Khartoum production sites were significantly (P≤0.05) different for most of the physicochemical properties examined. This could be explained by the different nutritional sources or different physiological status that may affect their milk and consequently gariss. The various age of gariss showed various trends in the physicochemical properties investigated. Keywords: physiochemical properties, fermented camel milk, semi-intensive system, traditional system and comparative study
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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".