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Record W2170889478 · doi:10.1603/008.102.0401

Systematics and Phylogeny of the Subgenus<i>Sarcophaga</i>(<i>Neobellieria</i>) (Diptera: Sarcophagidae)

2009· article· en· W2170889478 on OpenAlexaff
Marjolaine Giroux, Terry A. Wheeler

Bibliographic record

VenueAnnals of the Entomological Society of America · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicForensic Entomology and Diptera Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsBiologySubgenusFlesh flyZoologyParaphylyPolyphylyBotanyPhylogeneticsTaxonomy (biology)LarvaGenetics

Abstract

fetched live from OpenAlex

Abstract The New World subgenus Sarcophaga (Neobellieria) Blanchard is revised. The subgenus as previously recognized was polyphyletic. Five species, Sarcophaga semimarginalis Hall, Sarcophaga sternalis (Reinhard), Sarcophaga subdiscalis Aldrich, Sarcophaga triplasia Wulp, and Sarcophaga yorkii Parker, are removed from the subgenus. The remaining five species of Neobellieria are paraphyletic relative to the subgenus Tolucamyia Dodge; accordingly, Tolucamyia is synonymized with Neobellieria. Neobellieria is redefined to include five species assigned previously to Neobellieria (Sarcophaga bullata Parker, Sarcophaga citellivora Shewell, Sarcophaga cooleyi Parker, Sarcophaga libera Aldrich, and Sarcophaga polistensis Hall), three species assigned previously to Tolucamyia [Sarcophaga cavagnaroi (Dodge), Sarcophaga schrameli Dodge, and Sarcophaga sigilla Reinhard], and one new species, Sarcophaga (Neobellieria) longisterna Giroux &amp; Wheeler. Sarcophaga marstoniana (Dodge) is synonymized with S. sigilla. Lectotypes are designated for Sarcophaga bullata and S. cooleyi. Although there are relatively few rearing records for most Neobellieria species, some species develop primarily in vertebrates or vertebrate carrion; this group includes myiasis-causing species and species of importance in forensic entomology. Two species (S. libera and S. polistensis) are associated with nests of Hymenoptera.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.797
Threshold uncertainty score0.495

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.029
GPT teacher head0.251
Teacher spread0.223 · 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 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

Citations41
Published2009
Admission routes1
Has abstractyes

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