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Determining the effect of the invasive species Rhamnus cathartica in the native habitat of the Acer saccharinum

2014· dataset· en· W4394079693 on OpenAlexaboutno aff
Anthony Castellano

Bibliographic record

VenueFigshare · 2014
Typedataset
Languageen
FieldChemistry
TopicPlant-Derived Bioactive Compounds
Canadian institutionsnot available
Fundersnot available
KeywordsInvasive speciesHabitatIntroduced speciesBiologyGeographyEcologyBotany

Abstract

fetched live from OpenAlex

Our group went out on the afternoon of October 15, 2014 and again on October 22, 2014 to the Danby Woodlot located on York University’s Keele Campus in Toronto, Canada and placed a total of 12 quadrats created by four transect tapes, each enclosing an area of 20ft by 20ft. The first quadrat was placed at one corner of the woodlot and the quadrats continued in a diagonal fashion almost reaching the opposite corner of the woodlot. We counted the number of Common Buckthorns (Rhamnus cathartica) as well as the number of Silver Maples (Acer saccharinum) within the confines of the quadrat and included any individuals that were in contact with the transect tape line. A count of all the trees, regardless of species, was also taken for other calculations such as relative density. DBH, or diameter at breast height, was also measured and recorded. This was done by one individual in our group to ensure consistency of the breast height and accuracy of the measurement of the specie's diameter which was calculated in inches with another transect tape.

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)0.001
metaresearch head score (Gemma)0.002
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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.047
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.003

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 head0.026
GPT teacher head0.245
Teacher spread0.219 · 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
GenreDataset

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
Published2014
Admission routes1
Has abstractyes

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