Bibliographic record
Abstract
Ziel der vorliegenden Arbeit war die Auswertung der Daten jener Retriever, die in den Jahren 1999 bis und mit 2007 anlässlich einer Vorsorgeuntersuchung (VSU) auf vererbte Augenkrankheiten untersucht worden sind. Ebenfalls miteinbezogen wurden diejenigen Retriever die während der gleichen Zeitspanne am Tierspital in der Abteilung Ophthalmologie wegen einer Augenkrankheit vorgestellt wurden. Aus der Gruppe der VSU lagen Daten von 3032 Retrievern vor, die in folgende Rassen unterteilt werden: Curly coated Retriever (n=16), Chesapeake Bay Retriever (n=38), Novia Scotia Duck Tolling Retriever (n=96), Flat coated Retriever (FCR)(n=540), Golden Retriever (GR) (n=759), Labrador Retriever (LR) (n=1583). Der FCR war zu 15.6 % von einer Goniodysplasie betroffen. Bei 5.7 % der GR wurde eine er- worbene Katarakt diagnostiziert. Bei den LR waren 6.4 % von einer erworbenen Katarakt betroffen aber bei nur 0.3 % wurde eine PRA festgestellt. Die Wirksamkeit der vorbeugenden züchterischen Massnahmen wird diskutiert.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".