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Record W2264645157 · doi:10.1177/1098612x16628920

Clinical characterisation of polydactyly in Maine Coon cats

2016· article· en· W2264645157 on OpenAlexaboutno aff
Alexia Hamelin, Dominique Begon, Fabrice Conchou, Marion Fusellier, Marie Abitbol

Bibliographic record

VenueJournal of Feline Medicine and Surgery · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCongenital limb and hand anomalies
Canadian institutionsnot available
FundersUniversity of Warwick
KeywordsPolydactylyCATSNumerical digitAnatomyMedicinePhenotypeBiologyGeneticsInternal medicine

Abstract

fetched live from OpenAlex

Objectives Polydactyly has been reported in a number of vertebrate species, including the domestic cat. It is a common characteristic in some breeding lines of the Maine Coon. The aim of this study was to assess the limb phenotype of polydactyl cats using physical and radiographic examinations. Methods We used physical examination and radiography to characterise the polydactyly phenotype in a cohort of 70 Maine Coon cats, including 48 polydactyl cats from four different breeding lines from Europe, Canada and the USA. Results The phenotypic expression of polydactyly showed great variability, not only in digit number and conformation, but also in the structure of the carpus and tarsus. Comparison of the size of the radius in polydactyl and non-polydactyl 3-month-old kittens and adult females did not reveal any difference between polydactyl and non-polydactyl cats. Conclusions and relevance We conclude that polydactyly in Maine Coon cats is characterised by broad phenotypic diversity. Polydactyly not only affects digit number and conformation, but also carpus and tarsus conformation, with no apparent deleterious consequence on feline welfare.

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.

How this classification was reachedexpand

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score0.143

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.036
GPT teacher head0.315
Teacher spread0.278 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations12
Published2016
Admission routes1
Has abstractyes

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