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ВАРИАБИЛЬНОСТЬ ФУНКЦИОНАЛЬНЫХ ПРИЗНАКОВ ЛИСТЬЕВ НЕКОТОРЫХ ВИДОВ ЛУГОВЫХ РАСТЕНИЙ

2022· article· ru· W4226081642 on OpenAlex
Илья Сергеевич Сауткин, Татьяна Владимировна Рогова

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

VenueРоссийский журнал прикладной экологии · 2022
Typearticle
Languageru
FieldAgricultural and Biological Sciences
TopicBotany and Plant Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

Исследование внутривидовой изменчивости трех функциональных признаков листьев: площади – LA, сухой массы – LDW и удельной площади – SLA показало их взаимообусловленность и зависимость значений признаков от благопритяности условий местообитания и антропогенной нагрузки. Анализ полученных данных исследования показал, что универсальные информационные показатели LA и LDW являются низкими в неблагоприятных и низкопродуктивных местообитаниях и более высокими при изобилии ресурсов в более продуктивных условиях существования. Полученные значения SLA видов растений, произрастающих в сообществах интенсивно эксплуатируемых пастбищ, часто имеют более высокие значения. Возможно, адаптация в условиях постоянного изъятия биомассы на сенокосах и пастбищах идет в первую очередь через сокращение массы листьев при сохранении листовой поверхности. В сообществах мезофитных лугов в условиях заповедного режима, характеризующихся высокой продуктивностью, показатели функциональных признаков всех исследованных видов выше по сравнению с менее продуктивными лугами, существующими в условиях дефицита увлажнения. Пастбищные нагрузки, оказывающие отрицательное воздействие на луговые пастбищные травостои, вызывают не только сокращение запасов общей биомассы лугового сообщества, но и изменение индивидуальных функциональных признаков видов растений, их образующих.
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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)0.002
metaresearch head score (Gemma)0.000
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), 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 score0.110
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.003
Science and technology studies0.0070.001
Scholarly communication0.0000.001
Open science0.0030.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0360.003

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 head0.022
GPT teacher head0.192
Teacher spread0.171 · 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