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Record W2964557609

Effects of Elevated Soil Temperature on the Growth of Cirsium arvense (Canada Thistle)

2017· article· en· W2964557609 on OpenAlexaboutno aff
Brittany L. Lenze, Robert F. Smith

Bibliographic record

VenueBucknell Digital Commons (Bucknell University) · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect and Arachnid Ecology and Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsThistleCirsium arvenseWeedAgronomyBiologyWeed controlEnvironmental scienceBotany
DOInot available

Abstract

fetched live from OpenAlex

Canada thistle (Cirsium arvense) is an invasive plant species that came from Europe and reproduces using both seeds and rhizomes. This species and other invasives may opportunistically invade disturbed patches in riparian forests. In addition to increased development and riparian deforestation, global climate change may increase the potential growth and reproduction of Canada thistle. The purpose of this study is to develop a method for examining the effects of elevated soil temperatures on plant growth using Canada thistle as a model organism. Canada thistle was grown from rhizomes in one gallon pots with 8 pots on soil heating mats. A subset pots with normal and elevated temperatures were monitored with soil temperature sensors. We recorded mortality and the height of each plant during several periods throughout the study. Preliminary results indicate that sunlight may have a stronger effect on plant growth than soil temperature. Overall, assessing the effects of soil warming on Canada thistle growth can provide some insight into how climate change may affect the health of riparian forests.

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 score0.016
Threshold uncertainty score0.652

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 science0.0010.000
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 head0.006
GPT teacher head0.173
Teacher spread0.166 · 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
Published2017
Admission routes1
Has abstractyes

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