MétaCan
Menu
Back to cohort

Features of regeneration and growth of stem cuttings of decorative forms of the genus Juniperus L., promising for green construction in Belarus

2019· article· en· W2916496603 on OpenAlexaboutno aff
H. F. Kelko, U. I. Torchyk, G. A. Kholopuk

Bibliographic record

VenueProceedings of the National Academy of Sciences of Belarus Biological Series · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil and Environmental Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCuttingOrnamental plantBiologySowingCultivarGenusShootHorticultureBotanyGeography

Abstract

fetched live from OpenAlex

Modern urbanization processes lead to the need to introduce new approaches to urban gardening in the practice of green building, which in turn requires the renewal and expansion of the range of ornamental plants that are used, characterized by their compactness and high resistance to environmental factors. An important role in this is given to plant introduction, designed at the first stage to assess the prospects of introductions and draw conclusions about the advisability of their further use in gardening. This article presents the results of primary introductory tests of 10 cultivars of 4 species of the genus Juniperus L., conducted in 2008–2018. It is established that the cultivars studied are characterized by a stable rhythm of shoot growth, which begins in late April and ends in the first half of September, which ensures the success of their wintering in the open ground. The evaluation of the regenerative capacity of stem cuttings made it possible to identify among the objects as hard-to-root forms (J. horizontalis ‘Emerald Spreader’ and ‘Monber’, J. sabina ‘Tam No Blight’ and J. chinensis ‘Gold Coast’) and medium- (J. horizontalis ‘Prince of Wales’, ‘Limeglow’ and ‘Glacier’, J. conferta ‘Shlager’) and easily rooted (J. horizontalis ‘Winter Blue’ and ‘Yukon Belle’). Satisfactory ability of stem cuttings to root formation allows to organize the production of planting material on the territory of the republic.

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)0.001
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 score0.163
Threshold uncertainty score0.668

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.030
GPT teacher head0.234
Teacher spread0.203 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the National Academy of Sciences of Belarus Biological SeriesSame topicSoil and Environmental StudiesFrench-language works237,207