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Record W1992075411 · doi:10.1890/130188

Are non‐native species more likely to become pests? Influence of biogeographic origin on the impacts of freshwater organisms <sup>3</sup>

2014· review· en· W1992075411 on OpenAlexaff
Ahdia Hassan, Anthony Ricciardi

Bibliographic record

VenueFrontiers in Ecology and the Environment · 2014
Typereview
Languageen
FieldEnvironmental Science
TopicAquatic Invertebrate Ecology and Behavior
Canadian institutionsMcGill University
Fundersnot available
KeywordsIntroduced speciesInvasive speciesEcologyBiologyRange (aeronautics)PEST analysisBotany

Abstract

fetched live from OpenAlex

Some ecologists have claimed that non‐native species are no more likely to cause ecological or economic harm than native species. We evaluated this claim by testing whether the pest status of a species is independent of its origin, using data on freshwater plants and animals established in North America and Europe. Pests were defined as those whose presence resulted in socioeconomic damage. All species were classified on the basis of whether they were native to the continent, transplanted beyond their native range within the continent (transplant invaders), or non‐native to the continent (foreign invaders). Non‐native species comprised the majority (60%) of aquatic pests in North America and Europe and were six times as likely to be pests as compared with native species. The incidence of pest species was greatest among foreign invaders. These results counter the assertion that the potential for a species to cause socioeconomic damage is independent of its biogeographic origin.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.012
GPT teacher head0.233
Teacher spread0.221 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations21
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueFrontiers in Ecology and the EnvironmentSame topicAquatic Invertebrate Ecology and BehaviorFrench-language works237,207