Tenderness and Chemical Composition of Elk (Cervus elaphus) Meat: Effects of Muscle Type, Marinade Composition, and Cooking Method
Bibliographic record
Abstract
ABSTRACT Effects of sodium tripolyphosphate (STPP; 0.1, 0.2, or 0.3%) and 0.5%NaCl on the color, cooking yield, and tenderness of moisture‐enhanced elk longissimus lumborum (LL) and semimembranosus (SM) muscles were assessed. Injected samples had significantly ( P < 0.05) lower L, a , and b values and significantly ( P < 0.05) higher cooking yields and lower shear force values compared to controls; shear force values did not differ among marination treatments. The amino acid composition of elk meat was typical for those of red meat species. Elk meat was very lean and had a relatively high ratio of polyunsaturated to saturated fatty acids. The present study found that addition of 0.5% NaCl with 0.2% or 0.3% STPP to the marinade was best at improving the cooking yield and tenderness of the resultant products.
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) | 0.000 | 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".