Bibliographic record
Abstract
Hundewelpen zeigen je nach Rasse und Ernährung unterschiedliche Gewichtszunahmen. Die Fütterung spielt dabei eine zentrale Rolle. In der vorliegenden Arbeit sollte untersucht werden, ob hausgemachte Rationen oder kommerzielle Futtermittel zur Aufzucht verwendet werden. Dafür wurden Züchter und Besitzer von acht verschiedenen Hunderassen (Beagles, Berner Sennenhunde, Cavalier King Charles Spaniels, Deutsche Doggen, Deutsche Schäferhunde, Labrador Retrievers, Papillons/Phalènes und Shelties) zum Thema Welpenfütterung in der Schweiz befragt. Neben der Beantwortung des Fragebogens (Haltung und Fütterung der Welpen) beinhaltete die Teilnahme an der Studie das wöchentliche Wiegen der Tiere sowie das genaue Festhalten der verfütterten Futtermengen. Die Daten wurden mit den Angaben des Puppy Growth Check und des Diet Check Programmes verglichen. Im Ganzen nahmen 67 Hundezüchter mit 391 Welpen an der Studie teil. Die Züchter verwendeten fast ausnahmslos Alleinfuttermittel für die Aufzucht der Welpen und verzichteten auf hausgemachte Rationen. Futterzusätze wurden praktisch nicht verwendet. Die Gewichtsentwicklung der Welpen verlief bei den Deutschen Schäferhunden, Labrador Retrievern und Shelties nahezu ideal. Der berechnete tägliche mittlere Energiebedarf (Diet Check©) wurde unter Beachtung der Wachstumskurven etwas überschätzt. In der Praxis würde sich die Körpermasse vieler Tiere mit 80-90% des empfohlenen täglichen mittleren Bedarfs normal entwickeln. Puppies reveal different weight gains depending on the breed and the feeding regime. In this context, the diet plays an important role. The goal of the present study was to investigate, if more homemade diets or commercial diets are used in the breeding of dogs. For this reason, breeders and owners in Switzerland of eight different dog breeds (Beagles, Bernese Mountain Dogs, Cavalier King Charles Spaniels, Great Danes, German Shepherds, Labrador Retrievers, Papillons/Phalènes and Shelties) were interviewed about the nutrition of their puppies. The participation in the study included the answering of a questionnaire (husbandry and feeding of puppies), weekly weighing of the animals as well as exact documentation of the amount of food. The data were compared with the results of the puppy growth check . All in all, 67 dog breeders and 131 owners participated in this study. Almost all breeders and owners used commercial food for rearing of the puppies and abandoned homemade diets. Feed additives were not used. The weight progression of the puppies was almost ideal in the German Shepherd, Labrador Retriever and Sheltie breeds. The calculated daily mean energy requirement (Diet Check©) was overestimated, if the growth curves were included in the calculation. Accordingly, 80-90% of the calculated daily mean energy requirement would be sufficient for a normal development.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".