MétaCan
Menu
Back to cohort

Оценка межтиповой сочетаемости свиней

2013· article· ru· W9123340 on OpenAlexaboutno aff
Барышников Петр Иванович, Рудишин Олег Юрьевич, Бурцева Светлана Викторовна, Семенова Ирина Дмитриевна

Bibliographic record

VenueVestnik Altajskogo gosudarstvennogo agrarnogo universiteta · 2013
Typearticle
Languageru
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Health
Canadian institutionsnot available
Fundersnot available
KeywordsGenotypeBiologyWeaningAnimal scienceVeterinary medicineGeneticsMedicineGene

Abstract

fetched live from OpenAlex

The pigs of the following landrace genotypes were included into trial groups for crossing: Group 1 (control), landraces from Breeding Farm “Put k kommunizmu” (PK genotype) (PK × PK); Group 2, landraces from Breeding Farm “Krasniy Bor”, Novgorod Region (KB genotype) (KB × KB); Group 3, PK × KB; Group 4, landraces of Canadian breeding from the Tyumen Region (CL genotype) and PK genotype (PK × CL). The research purpose was a comparative evaluation of the reproductive qualities of the leading sows obtained from the variants of inter-type crossing combinations and their comparison with genotype PK sows (PK × PK). It was found that trial groups sows revealed higher prolificacy by 7.1-15.2%. The number of piglets at weaning in two months was reliably higher (р

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)0.001
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.017
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.007

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 head0.015
GPT teacher head0.194
Teacher spread0.179 · 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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueVestnik Altajskogo gosudarstvennogo agrarnogo universitetaSame topicAnimal Nutrition and HealthFrench-language works237,207