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Record W7051639043

OILSEED CROPS IN KOSTANAY REGION

2023· article· mk· W7051639043 on OpenAlexaboutno aff

Bibliographic record

VenueBiosphere (Foundation for Scientific Research "XXI CENTURY") · 2023
Typearticle
Languagemk
FieldEngineering
TopicElectrostatic Discharge in Electronics
Canadian institutionsnot available
Fundersnot available
KeywordsRapeseedSunflowerCropAgricultureCultivarSpring (device)Sunflower oil
DOInot available

Abstract

fetched live from OpenAlex

A variety of oilseeds in the Agricultural Experimental Station "Zarechnoye" is represented by: 200 varieties of soybeans 000, 00, and I maturity groups, in addition, spring rapeseed 56, oil flax 36 and sunflower 51 varieties. These varieties are represented by the selection of Russia, Kazakhstan, Canada, France, Ukraine, Poland, USA, Belarus, Sweden, Japan, China, Czech Republic, Czechoslovakia. And there are also varieties that are the result of the breeding work of scientists from the AES “Zarechnoye”: four varieties of sunflower (Zarechny, Sary, Rauan, Kosnur), three varieties of oil flax (Altyn, Kustanaisky 11, Kazar), one variety of spring rapeseed Gulsary, soybeans are represented the farm has four varieties (Ivushka, Severnoye siyaniye, Daneliya, Svetlyachok). Breeding work with soybeans is carried out jointly with scientists from the Kazakh Research Institute of Agriculture and Crop Production. To conduct breeding work and further crossing the best parental forms, it selects varieties according to the following economically valuable traits: yield, oil content, weight of 1000 seeds. In addition, due to the short frost-free period in the Kostanay region, varieties that are able to ripen under these conditions are valuable (rapeseed 90-100 days, oil flax 75-80 days, sunflower 85-95 days, soybeans 90-100 days).

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.024

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.087
GPT teacher head0.365
Teacher spread0.278 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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