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Estimation of genetic parameters for canine hip dysplasia in the Swiss Newfoundland population

2003· article· en· W1990950923 on OpenAlex
Elisabeth Dietschi, Peter Schawalder, Charlotte Gaillard

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Animal Breeding and Genetics · 2003
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsConfoundingHeritabilityMaternal effectRandom effects modelAdditive genetic effectsOffspringPopulationStatisticsVariance componentsBiologyFixed effects modelGenetic modelEnvironmental effectGrading (engineering)Restricted maximum likelihoodEstimationDemographyMedicineMaximum likelihoodMathematicsGeneticsInternal medicineEcologyEnvironmental healthPregnancyMeta-analysisEngineering

Abstract

fetched live from OpenAlex

Summary Variance components and genetic parameters for hip dysplasia (HD) in a population of 1372 Newfoundlands were estimated using restricted maximum likelihood method applied to animal models comprising fixed effects of gender, screening expert and HD grading system. All models investigated included a random direct genetic effect, but differed for combinations of random maternal genetic effect, permanent maternal environmental effect and kennel effect. Although kennels had no effect on HD, the permanent maternal environmental effects, however were significant. The results for the maternal genetic effect were ambiguous. These results suggest a confounding of these three random effects. The model that included the fixed effects, the direct genetic effect and the permanent maternal environmental effect was the most parsimonious combined with an optimal fit. The heritability estimated with this model was 0.28 and the proportion of the permanent maternal environmental effect of the phenotypic variance was 0.10. The effects of gender and screening expert were significant but not the one of HD grading system.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score0.199

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.029
GPT teacher head0.283
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it