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Record W4415430085 · doi:10.21083/jeso.v152i1.5075

The European fire ant, <i>Myrmica rubra</i> (Linnaeus) (Hymenoptera: Formicidae), in the Credit River watershed

2021· article· W4415430085 on OpenAlexaffabout
Laura Timms, Carolyn Duthie, Gail S. Fraser

Bibliographic record

VenueThe Journal of the Entomological Society of Ontario · 2021
Typearticle
Language
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect and Arachnid Ecology and Behavior
Canadian institutionsYork UniversityCredit Valley Hospital
Fundersnot available
KeywordsAbundance (ecology)WetlandLand coverWatershedDisturbance (geology)Cover (algebra)

Abstract

fetched live from OpenAlex

The European fire ant, Myrmica rubra (Linneaus) (Hymenoptera: Formicidae), is an invasive species in Canada and the United States. Myrmica rubra has proven to be very hard to control once it has invaded an area, and preventing further spread of the species is important for moderating its negative effects. There are limited studies of this species in Ontario. We used pitfall traps to sample M. rubra at ten wetlands in the Credit River watershed and explored the relationships between three factors—disturbance, wetness, and proportion of urban land use surrounding the wetlands—and M. rubra incidence and abundance. Three of the ten sites had a very high abundance (>30,000 ants) of M. rubra. The proportion of surrounding urban cover and disturbance had strong positive relationships with both the incidence and abundance of M. rubra. Ecological and land use data predicting M. rubra presence and abundance can assist in identifying sites that may be vulnerable to future invasions. We recommend incorporating ant monitoring into existing long-term monitoring efforts in southern Ontario.

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)0.005
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.731
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.002
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 head0.015
GPT teacher head0.230
Teacher spread0.215 · 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 designBench or experimental
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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