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Record W4235738210 · doi:10.24124/2005/bpgub339

Macrophyte-flow interactions in aquatic plants.

2005· dissertation· en· W4235738210 on OpenAlexaff
Julianne Trelenberg

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsUniversity of Northern British ColumbiaLibrary and Archives Canada
Fundersnot available
KeywordsElodea canadensisCeratophyllum demersumMacrophyteFlumeAquatic plantBotanyBiologyFlow (mathematics)Environmental scienceEcologyMechanicsPhysics

Abstract

fetched live from OpenAlex

Linear-bladed ('Vallisneria americana'), whorled (' Elodea canadensis'), and dissected ('Ceratophyllum demersum ') leaf morphologies occur convergently in aquatic plants. It is likely that fluid dynamics have had an effect on plant morphology, by acting on exchange processes at low flows and drag forces at higher flows. These species were examined using flow visualization and digital imagery at five velocities (1-11 cms-1) in a flume. Results indicated that in terms of fluid retention, 'Elodea' and 'Vallisneria ' acted like a cylinder, whereas 'Ceratophyllum' acted like a mesh. Transitional flows occurred at lower velocities than the cylinder, indicating an increase in local mixing. However, this was reversed when the internodal spacing was increased experimentally for 'Elodea' and 'Ceratophyllum'. This reduction in plant-flow interaction would allow these plants to remain erect in a relatively low energy environment. These results suggest that the flow environment has influenced the plasticity of leaf types and the evolution of macrophyte form in general.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.009
GPT teacher head0.254
Teacher spread0.245 · 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 source (direct Gemma or distilled Codex), 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
Published2005
Admission routes1
Has abstractyes

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