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Record W597915078

Оценка засухоустойчивости древесных насаждений в Среднем Прихоперье

2012· article· ru· W597915078 on OpenAlex
Кузьмичёв Алексей Михайлович, Овчаренко Алевтина Анатольевна

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

VenueИзвестия Самарского научного центра Российской академии наук · 2012
Typearticle
Languageru
FieldAgricultural and Biological Sciences
TopicBotany and Plant Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWillowWoody plantSalicaceaeCrown (dentistry)BalsamBotanyMapleForestryBiologyGeography
DOInot available

Abstract

fetched live from OpenAlex

The assessment of stability of 28 types of woody plants to high temperatures and a drought in points by method of visual assessment of broken leaves developed by authors is given. Groups of views with various extent of damages are allocated. The aboriginal species of common oak, willow, poplar and arboreal introducents of the Canadian spruce, Colorado spruce, Douglas spruce, Scotch pine, lombardy poplar turned out to be stable to drought and high temperatures. A significant differentiation of leaves crown damage was found with North American species of red ash and ash-leaved maple introduced to culture. The maximum pathologies from heat and drought were found with drooping birch, balsam poplar, grey willow, common elm, horse-chestnut, Norway maple, Tatar maple. The coniferous trees, oak, separate species of poplars and willows are prospective for growing in the Middle Prikhoperye region. In anthropogenic environment the effect of high temperatures and drought on woody plants is increasing. The woody plants of different species were greatly suffered on dacha plots near the town junkyard, in the conditions of the town – in the streets with heavy traffic.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.002
Science and technology studies0.0030.002
Scholarly communication0.0010.002
Open science0.0030.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0200.013

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 head0.034
GPT teacher head0.218
Teacher spread0.185 · 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