MétaCan
Menu
Back to cohort
Record W1976009530 · doi:10.1017/s1014233900001838

Production characteristics of domestic Balkan goats

2004· article· en· W1976009530 on OpenAlexaff
N. Memiši, Fred Bauman, Srdjan Stojanović, Б. Н. Павлов, Slobodan Jovanović

Bibliographic record

VenueAnimal Genetic Resources Information · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and phenotypic traits in livestock
Canadian institutionsInstitute for Biological Sciences
Fundersnot available
KeywordsBreedBiologyLactationWithersAnimal scienceVeterinary medicineBody weightPregnancyMedicine

Abstract

fetched live from OpenAlex

Summary The paper presents milk production results in a domestic Balkan goat breed reared in the north-western region of the Sharplanina massif. A characteristic of the domestic Balkan goat is that it is reared under poor conditions where other domestic animals can not find enough food to survive. These goats have a strong constitution, are robust and resistent to contagious and parasitic diseases, tolerant to hot, arid climate, and have modest nutritional requirements. The entire body (except the nose, hoofs, and lower portion of the tail) is covered by hair. Hair color varies. Most often it is reddish or gray, but can also be black, as well as chestnut, brown, patchy, and seldom, white. Body size increases with age, due to the fact that the domestic Balkan goat matures late, reaching full size at about 4 years of age. Mean values for height at withers and body length in mature goats were 66 and 70 cm, respectively. Lactation duration was 238 days, total milk production 178 kg per lactation, milk fat 3.68%. An average of 1.2 kids are obtained per goat annualy. Poor fertility of the domestic Balkan goat is caused by numerous reasons, mainly poor nutrition.

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 score0.899
Threshold uncertainty score0.521

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 head0.006
GPT teacher head0.218
Teacher spread0.212 · 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

Citations6
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueAnimal Genetic Resources InformationSame topicGenetic and phenotypic traits in livestockFrench-language works237,207