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Record W4388475079 · doi:10.3920/9789086867608_061

Diversity of selected features of integumentary system in mink

2012· book-chapter· en· W4388475079 on OpenAlexaboutno aff
M. Piórkowska, A. Natanek

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicMeat and Animal Product Quality
Canadian institutionsnot available
Fundersnot available
KeywordsMinkCoatBiologyIntegumentary systemZoologyAmerican minkDomesticationEcologyAnatomy

Abstract

fetched live from OpenAlex

Domestication by humans was aimed to modify the morphological, physiological, developmental and mental traits of the wild animals so as to obtain desirable characteristics. As a result of long-term intensive farming, the productive traits of farmed mink differ considerably from those of feral mink. Clear differences are observed in reproductive traits, and animals are improved mainly for hair coat quality, coat colour, body size and temperament. The wild American mink, a non-indigenous species that took over the European mink’s ecological niche, is found in Poland. The aim of the study was to determine differences in the integumentary system of mink depending on the animals’ place of origin and habitat. The biological material was represented by skins of feral mink caught in Canada and Poland following the winter period and skins of farmed Polish mink obtained after winter fur priming. Physical parameters of all raw skins were measured, the degree of skin damage was evaluated, and the histological examination of the skins was performed during the study because hair coat is associated developmentally and biologically with cutaneous tissue. A total of 150 skins were analysed. In relation to Canadian skins, Polish skins were 22% heavier, 15% longer and had 31% greater area, while the skins of farmed mink were 130% heavier, 52% longer and had 88% greater area.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.210
Teacher spread0.174 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2012
Admission routes1
Has abstractyes

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