Ratio of meat preparates to carcass in cattle slaughtered in Istanbul
Bibliographic record
Abstract
This study was performed to determine the relationship between the ratio of the bones and valuable meat preparates to the carcass, the age and the sex parameters in Holstein and Swiss Braun race cattle which are widely breaded in our country. The half and quarter carcasses of the cattle that are slaughtered in Istanbul were used as working material. The carcasses were separated into 4 groups as above 3 years of age group (n=24), under 3 years of age group (n=46), male group (n=53) and female group (n=17). Totally 140 carcasses were evaluated. According to the obtained results, hind quarter weight, fillet, loin, rump, tranche, sirloin, round, flank, shank, brisket, fore loin, sticking, chuck and total bones parameters were significantly different at (p<0.001) level between above the 3 years of age and under the 3 years of age group. Between the same groups the sirloin tip parameter was significantly different at p<0.01 level. At the parameters of leg weight, shank and half carcasses there was no significant difference between the groups. We could not determine any significant differences in the percentage ratio of all meat parameters to the carcass between the groups of above 3 years of age and under 3 years of age. In the male and female groups, all the parameters except loin, leg weight and shank were significantly different between the 2 groups. Hind quarter and shank parameters were significantly different at p<0.05 level, round parameter was significantly different at p<0.01 level, and the other valuable meat propagates were significantly different at p<0.001 level. Rump parameter was evaluated as significantly different at p<0.05 level between male and female groups. The other parameters were not significantly different between the mentioned groups.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".