Growth Traits of Anatolian and Anatolian x Italian Crossbred Buffalo Calves Under the Village Conditions
Bibliographic record
Abstract
The study was carried out to compare growth performances of Anatolian and crossbred (Anatolian x Italian) buffalo calves (53 F1, 66 Anatolian, 26 F1xAnatolian) raised at Ilıkpınar Village of Kırıkhan District of Hatay Province. Body measurements were determined in the period of 0-12 months of age. The effects of genotype, sex, birth year effects on each characteristic in each age were investigated using GLM variance analysis. The means of each characteristic in each age for each genotype were calculated. Duncan test was used in comparison of the averages of each characteristic SPSS program was used in the statistical procedures. Genotype created significant variation in live weight at 1 and 6 months of ages respectively and on almost every body measurement almost in every age. Genotype* birth weight, genotype*sex, and genotype*birth year* sex interactions were found statistically significant in the point of view of various characteristics in various ages. Factors had significant effects on various characteristics in various ages. It can be said that, F1 growth was the most speedly and Anatolian buffaloes stayed behind of the other genotypes from the point of view of all the traits.
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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 | 0.000 | 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) | 0.001 | 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".