Bibliographic record
Abstract
In dieser Arbeit wurden Zuchter und die neuen Besitzer von 8 verschiedenen Hunderassen (Beagle, Berner Sennenhund, Cavalier King Charles Spaniel, Deutsche Dogge, Deutscher Schaferhund (DSH), Labrador, Papillon, Sheltie) zum Thema Welpenfutterung in der Schweiz befragt. Neben der Beantwortung des Fragebogens (Haltung und Futterung der Welpen) beinhaltete die Teilnahme das wochentliche Wiegen der Tiere sowie das genaue Protokollieren der verfutterten Futtermenge. Es nahmen 67 Hundezuchter und 131 neue Besitzer der Welpen teil. Die Gewichtsentwicklung der Welpen verlief bei den DSH, Labradors und Shelties nahezu parallel zur ideal geltenden Wachstumskurve. Bei den anderen Rassen gab es wahrend der Aufzucht zum Teil massive Abweichungen zur idealen Wachstumskurve. Der tagliche mittlere Energiebedarf war unter Miteinbeziehung der Wachstumskurven bei diesen zu hoch angesetzt. Fur viele Tiere wurden 80 – 90 % der Empfehlungen ausreichen, um wahrend des Wachstums konstant zuzunehmen. Die Kalziumversorgung lag bei...
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".