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Record W1497615900

Ichtyose cutanée chez un golden retriever

2007· article· fr· W1497615900 on OpenAlexaboutno aff
Noëlle Cochet‐Faivre

Bibliographic record

Venue˜Le œPoint vétérinaire · 2007
Typearticle
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicSkin and Cellular Biology Research
Canadian institutionsnot available
Fundersnot available
KeywordsGynecologyLabrador RetrieverMedicineArtPathology
DOInot available

Abstract

fetched live from OpenAlex

Depuis quelques annees, une augmentation de l'incidence de l'ichtyose cutanee, trouble hereditaire de la corneogenese caracterise par l'accumulation de squames, est observee chez le golden retriever. La pathogenie et la caracterisation des genes impliques sont en cours de recherche. Les signes cliniques sont des squames brun-gris adherents au pelage, une peau hyperpigmentee, plissee, avec un aspect rugueux. L'evolution de la maladie est cyclique. A l'examen histopathologique, une hyperkeratose est presente, a la surface de l'epiderme et dans les infundibula. Le traitement est symptomatique et adapte a l'extension des lesions. Lors d'ichtyose cutanee etendue avec des repercussions sur la vie de l'animal (pyodermite recidivante, prurit), des retinoides de synthese peuvent etre prescrits.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.374
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.010
GPT teacher head0.259
Teacher spread0.249 · 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.

Study designBench or experimental
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

Citations1
Published2007
Admission routes1
Has abstractyes

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