Analysis of feeding of German Shepherd dogs using BARF for the prevention of constipation (in the conditions of the Canine Training Center of the State Border Guard Service of Ukraine in the city of Velyki Mosty, Lviv region)
Bibliographic record
Abstract
The materials of the publication analyze the effect of feeding German Shepherd dogs using BARF for the prevention of constipation, as well as the health and performance of experimental service dogs in the conditions of the Canine Training Center of the State Border Guard Service of Ukraine, located in the city of Velyki Mosty, Lviv region. The feeding ration of service dogs adopted at the KNC of the State Border Guard Service of Ukraine generally meets the needs of young German Shepherds and provides a sufficient level of energy, proteins, vitamins and minerals for normal growth, development and service loads of dogs. Their live weight increased by 4.1 kg, height at the withers by 3.2 cm. The animals of the experimental group that received the experimental diet increased their live weight by 5.1 kg and their height at the withers by 4.2 cm, which indicates that the proposed feeding of dogs using BARF is a better diet for the health of animals and their productive qualities than that accepted at the Canine Training Center of the State Border Guard Service of Ukraine. BARF (Bones And Raw Food diet or Biologically Appropriate Raw Food diet) is a dog nutrition system based on raw natural products. That is, BARF stands for “biologically appropriate raw food”. That is, it is natural food for dogs and cats that corresponds to their natural way of consumption. BARF diets are based on the recommendations of FEDIAF (European Pet Food) – the European Guide to Animal Nutrition and Responsible Animal Care – the main book of feed ration recipes. All leading companies produce BARF food lines and offer them to pet owners. BARF also does not involve heat treatment of products – all rations consist exclusively of raw, fresh and frozen products. In particular, food does not require further heat treatment – to feed the animal, it is enough to defrost the food package. Heat-treated products lose useful and nutritious elements; At the same time, the body of carnivorous animals (dogs and cats) is not designed to digest heat-treated products, so the level of digestibility of boiled, baked, etc. dishes will be significantly lower. BARF or raw feeding is becoming increasingly popular among dog lovers in Canada and Germany. BARF is a complete product containing raw meat, fresh vegetables, fruits and additives such as oils and herbs.
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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".