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Record W4387186982 · doi:10.30901/2658-6266-2023-1-o4

On the anniversary of Academician Lyubov Vladimirovna Khotyleva

2023· article· en· W4387186982 on OpenAlexaboutno aff
Е. К. Хлесткина, V. K. Shumny, Anton A. Nizhnikov, И. А. Тихонович

Bibliographic record

VenuePLANT BIOTECHNOLOGY AND BREEDING · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Productivity and Crop Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceQuarter (Canadian coin)CommissionManagementLibrary scienceLawGeography

Abstract

fetched live from OpenAlex

March 12, 2023 is the anniversary of Lyubov Vladimirovna Khotyleva, Academician of the National Academy of Sciences (NAS) of Belarus, one of the world’s largest specialists in the field of genetics of agricultural plants. She published more than 400 scientific works, received 18 copyright certificates for varieties and inventions. Lyubov V. Khotyleva directed the Institute of Genetics and Cytology of the NAS of Belarus for almost a quarter of a century, raised several generations of scientists. Under her leadership, six Doctors and 43 Candidates of Sciences defended their theses. In different years, Lyubov Vladimirovna was the Vice-President of the N.I. Vavilov All-Union Society of Geneticists and Breeders, the President of the Belarus Society of Geneticists and Breeders, was a member of the presidium of the Higher Attestation Commission (VAK) of Belarus and VAK of Russia, was an Academician-Secretary of the Biological Department of the NAS of Belarus. L.V. Khotyleva carries out important scientific and organizational work as one of the prominent experts in the field of plant genetics, member of the editorial boards of several specialized periodicals.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score0.208

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 head0.026
GPT teacher head0.187
Teacher spread0.160 · 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 designBench or experimental
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
Published2023
Admission routes1
Has abstractyes

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Same venuePLANT BIOTECHNOLOGY AND BREEDINGSame topicAgricultural Productivity and Crop ImprovementFrench-language works237,207