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Record W4367852562 · doi:10.26898/0370-8799-2023-3-11

Genotypic and phenotypic characteristics of the Western Siberian Hereford cattle population

2023· article· en· W4367852562 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSiberian Herald of Agricultural Science · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Health
Canadian institutionsnot available
Fundersnot available
KeywordsBreedHerdBiologyAnimal sciencePopulationReproductionSelection (genetic algorithm)Veterinary medicineAnimal breedingDemographyEcologyMedicine

Abstract

fetched live from OpenAlex

Breeding and pedigree work aimed at increasing the intensity of growth of young animals and improving herds, ultimately consists in the accumulation of highly productive animals, and in the future - related groups and lines. It is carried out mainly through the use of bulls-improvers, which have passed the two-stage evaluation. The results of the complex characterization of the animals of the Siberian selection of Hereford breed from the breeding farms of the Novosibirsk region are presented. It has been established that in the leading pedigree breeding units the stud bulls of the Maer-Vern 88480, Baldwins Leda 10r, Baz Gold Sol 2v268279, Yarlyk 413 of Siberian reproduction and imported Hellington 88 910 of Finnish selection, Red Note 28 722 279, Kingly 1 Hyrrow 2 976 500 345 and Highflight Wetmore 377 231 of Canadian origin are used in the breeding work with regard to small number of other lines. The productivity limit for the period of economic use in calves ranges from 2.5 to 9.4 lactations, live weight from 507 to 569 kg, milk yield from 189 to 204 kg, height at hips from 125 to 131 cm and the reproduction score from 8.2 to 9.3. On these farms, leader bulls were bred on the basis of heterogeneous and improving selection of parental pairs, which are included in the repair group of stud bulls. The live weight at 15 months is 458-616 kg and corresponds to the class of elite-record. The average daily gain of live weight during the test period from 8 - to 15 months of age is within 1052-1381 g.

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.

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 score0.801
Threshold uncertainty score0.269

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.237
Teacher spread0.217 · 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