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Record W45857819

On the ecology of Acer circinatum Pursh: a study of factors that affect the distribution of a small hardwood tree within oldgrowth forests in southwestern British Columbia, Canada

2002· dissertation· en· W45857819 on OpenAlexaboutno aff

Bibliographic record

VenueCarl von Ossiezky University of Oldenburg · 2002
Typedissertation
Languageen
FieldChemistry
TopicPlant-Derived Bioactive Compounds
Canadian institutionsnot available
Fundersnot available
KeywordsMapleVineUnderstoryAceraceaeEcological successionEcologyTemperate climateTemperate rainforestGeographyEnvironmental scienceForestryBiologyCanopy
DOInot available

Abstract

fetched live from OpenAlex

Vine maple (Acer circinatum PURSH) is a common understory species in the temperate rainforests of southwest British Columbia. The influence of surficial geology, light availability, ground water levels, aspects of the microtopography and of vine maple persistence, priority effects and layering on the distribution pattern of vine maple within oldgrowth stands was investigated in this study. The distribution pattern was primarily influenced by surficial geology. High vine maple cover was significantly connected to rockfall sediment. This was probably a relic of vine maple dominance during primary succession. On a smaller scale light availability and potentially former light availability influenced vine maple cover and occurrence. Ground water levels, soil properties and slope inclination had no influence on vine maple distribution. Vine maple was able to delay but not completely repress gap closure in gaps it occupied.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score0.312

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.016
GPT teacher head0.188
Teacher spread0.172 · 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
Published2002
Admission routes1
Has abstractyes

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