The effect of age and ultimate pH value on selected quality traits of meat from wild boar
Bibliographic record
Abstract
The meat from hunted wild boar juveniles (N = 18) and yearlings (N = 17) was analysed to assess the influence of age and the ultimate pH value on selected quality traits. The analysed meat of 55.56% of the juveniles and 64.71% of the yearlings was characterised with normal pH. The pH had been measured 24 and 48 h post mortem. More cases of high ultimate pH (pH u > 5.8) and high maximal pH (about 6.2) have been noted in the meat of younger animals compared with older ones. We found no effect of pH u on the colour coordinates of analysed wild boar meat. A slight effect of age was observed for the lightness (L*) coordinate. The postmortem time was the most important factor influencing meat colour [L*, yellowness (b*), and hue angle]. A high pH u was related to lower drip loss (P = 0.001), lower percentage of free water (P = 0.036), lower cooking loss (P = 0.001), and lower plasticity (P = 0.042). The meat from juveniles showed higher plasticity than meat from yearlings. Summing up, both the pH u level and the age of wild boars may affect some qualitative patterns of meat, changing the technological usability of this raw animal product.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".