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Record W2018105452 · doi:10.1071/is08024

Recent origins and genetic fragmentation of Simulium (Hebridosimulium) laciniatum (Diptera), the endemic Fijian simuliid

2008· article· en· W2018105452 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInvertebrate Systematics · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect symbiosis and bacterial influences
Canadian institutionsUniversity of AlbertaUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsBiological dispersalArchipelagoBiologyCosmopolitan distributionEcologyPopulationSimuliumBlack flySubgenusZoologyGeographyTaxonomy (biology)Demography

Abstract

fetched live from OpenAlex

Simulium laciniatum Edwards, 1924 is endemic to Fiji and is also the only known black fly species in the Fiji archipelago, a most unusual situation since neighbouring Vanuatu harbours fourteen precinctive species from the same subgenus, Hebridosimulium Grenier & Rageau, 1961. Morphology indicates that S. (H.) laciniatum is monospecific throughout the Fiji archipelago, so the species was further scrutinised from a molecular standpoint. Samples taken from five islands of Fiji show a major lack of heterogeneity in the mitochondrial COII gene and a probable date around 105 years has been inferred for the S. (H.) laciniatum ancestor, a likely migrant from Vanuatu. COII homogeneity may also reflect the dispersal abilities of blood-seeking females of this species, abetted possibly by shortened distances between islands during ice ages concurrent with depressed sea levels. However, the ITS1 spacer between the 18S and 5.8S rDNA genes exhibits six haplotypes, with the two predominant ones clearly arrayed in a north–south distribution. This suggests sufficient distance between suites of islands in recent times to allow precinctive population development.

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.

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)0.000
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 score0.686
Threshold uncertainty score0.266

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.031
GPT teacher head0.227
Teacher spread0.197 · 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