Mineralogical Characterization of Premix Used in the Manufacture of Feed for Poultry and Livestock
Bibliographic record
Abstract
One of the basic requirements that must be met in the production of livestock and poultry is a good food for their diet. Premix is an integral part in the food production for poultry and livestock. It is a mixture of organic and inorganic components. Our study has been conducted with a goal to identify minerals in foreign premix for the production of domestic premix and substitution of premix imported. Food with foreign premix has shown good results while raising poultry and livestock. Production of domestic premix with minerals from our area would enable better utilization of domestic resources. Using different methods (DTA, IR, XRD, SEM and EDS) mineralogical characterization of foreign premix has been made. Based on results of mineralogical characterization, minerals in mineral part of foreign producers’ premix have been clearly identified. They are Clinoptilolite (Ca, K,) 2-3Al3 (Al, Si) 2Si13O36 12 (H2O), as primary and minerals Quartz (SiO2) and Calcite (CaCO3) as secondary. The Clinoptilolite is mineral from zeolite group.
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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 | 0.001 |
| 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".