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Record W2760205432 · doi:10.1515/acve-2017-0034

IGF1 Gene Polymorphism in Selected Species of the Canidae Family

2017· article· en· W2760205432 on OpenAlexaboutno aff
A. Jakubczak, Magdalena Gryzińska, Beata Horecka, Grażyna Jeżewska-Witkowska

Bibliographic record

VenueActa veterinaria · 2017
Typearticle
Languageen
FieldMedicine
TopicGrowth Hormone and Insulin-like Growth Factors
Canadian institutionsnot available
FundersNarodowe Centrum Badań i Rozwoju
KeywordsSNPMissense mutationSingle-nucleotide polymorphismBiologyExonGeneticsMutationPolymorphism (computer science)GeneGenotype

Abstract

fetched live from OpenAlex

Abstract The gene IGF1 has been shown to have a significant influence on the size of individuals, including animals of the Canidae family. In this study we determined SNP mutations of the IGF1 gene in dogs, raccoon dogs and farmed and free-living red foxes from Poland and Canada. No SNP mutations were noted in dogs or raccoon dogs, but a total of 14 single nucleotide polymorphisms were identified in foxes, including 12 substitutions, as well as one new mutation missense variant (exon 6) in wild Polish foxes and one synonymous mutation variant in wild foxes from Canada. We identified specific SNP profiles characteristic only for farmed foxes and only for wild foxes, as well as specific SNP profiles or wild foxes from North America (Canada) and from Europe (Poland).

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.777
Threshold uncertainty score1.000

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 head0.036
GPT teacher head0.262
Teacher spread0.226 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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