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Record W3194209461 · doi:10.31542/muse.v5i1.2023

Sand armour: How it provides plants with an edge up in survival

2021· article· en· W3194209461 on OpenAlexaffvenue
Jennifer

Bibliographic record

VenueMacEwan University Student eJournal · 2021
Typearticle
Languageen
FieldEngineering
TopicTree Root and Stability Studies
Canadian institutionsMacEwan University
Fundersnot available
KeywordsHerbivoreArmourAdaptation (eye)EcologyBiologyHabitat

Abstract

fetched live from OpenAlex

Plants have evolved a dizzying array of morphological and biochemical defences; a deceptively simple one involves sand. Some plants actively coat themselves in sand, termed psammophory, as an ingenious adaptation for survival. While the functional significance of psammophory is understudied, experimental data from Abronia latifolia and Navarretia mellita suggests that it acts as a mechanical defence against herbivory within dune habitats. This defence stems from both the damaging and non-nutritive properties of sand and the lasting detrimental effects it has on herbivore physiology. While sand armour may seem like an unusual adaptation, it certainly can deter herbivores by giving them something to chew on.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.971

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 science0.0000.000
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 head0.019
GPT teacher head0.220
Teacher spread0.200 · 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 designObservational
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
Published2021
Admission routes2
Has abstractyes

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