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Occurrence of <i>Rhagoletis</i> species in Newfoundland

2004· article· en· W2051258744 on OpenAlexafffundabout
Stewart H. Berlocher, Peggy L. Dixon

Bibliographic record

VenueEntomologia Experimentalis et Applicata · 2004
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect behavior and control techniques
Canadian institutionsAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food CanadaUniversity of Illinois at Urbana-ChampaignMemorial University of NewfoundlandU.S. Department of Agriculture
KeywordsRhagoletisBiologyBiological dispersalPEST analysisRange (aeronautics)Refugium (fishkeeping)ZoologyEcologyTephritidaeBotanyHabitatPopulation

Abstract

fetched live from OpenAlex

Abstract The presence of Rhagoletis fruit flies in Newfoundland, Canada, was investigated by rearing large numbers of the fruits of known and potential host plant species. Three Rhagoletis species, R. tabellaria (Fitch), R. basiola (Osten Sacken), and the cherry pest species R. fausta (Osten Sacken), were found to occur naturally in Newfoundland, representing a range extension of some 500 km for R. tabellaria and R. basiola. Rhagoletis fausta had previously been reported from sticky traps used to monitor R. mendax Curran, which is not known from the province. To investigate the route by which the two new species may have colonized Newfoundland, R. tabellaria adults were sequenced for a mitochondrial genome fragment (COI–tRNA‐Leu–COII–tRNA‐Lys). This sample was genetically identical or similar to samples from other widely distributed sites in North America, suggesting that the presence of R. tabellaria in Newfoundland is the result of postglacial dispersal rather than survival in a glacial refugium. The implications of these findings for Rhagoletis management in Canada are discussed.

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 score0.069
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.274
Teacher spread0.249 · 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

Citations5
Published2004
Admission routes3
Has abstractyes

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