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Record W2315577336 · doi:10.1139/cjz-2012-0186

Genital coupling and copulatory wounding in<i>Drosophila teissieri</i>(Diptera: Drosophilidae)

2012· article· en· W2315577336 on OpenAlexvenueno aff
Yoshitaka Kamimura, Hiroyuki Mitsumoto

Bibliographic record

VenueCanadian Journal of Zoology · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsnot available
Fundersnot available
KeywordsAedeagusBiologyDrosophila melanogasterZoologyAnatomyDrosophila (subgenus)Sex organDorsumMatingDrosophilidaeEvolutionary biologyGeneticsTaxonomy (biology)Gene

Abstract

fetched live from OpenAlex

We report genital coupling of Drosophila teissieri Tsacas, 1971, a member of the Drosophila melanogaster species subgroup. The species subgroup consists of nine described species including the model organism Drosophila melanogaster Meigen, 1830. Despite numerous studies on the biology of this group, our understanding of the evolutionary significance of the diversity in their genital structures is limited. This study provides evidence that (i) during the copulation, which lasts 41.1 min, a paired male genital part (dorsal branches of the basal processes of the aedeagus) open after being inserted into the female reproductive tract, (ii) female D. teissieri have a pair of pockets on the dorsal side of their genitalia that receive bifurcated spines of the male genitalia (ventral branches of the basal processes of the aedeagus), and (iii) male genital parts, especially unique strong spines of the cerci, cause multiple copulatory wounds on membranous areas of the female genitalia. Within the established phylogeny of the D. melanogaster species subgroup, we discuss possible functions of and evolutionary transitions in these genital structures.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.034
GPT teacher head0.206
Teacher spread0.172 · 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

Citations13
Published2012
Admission routes1
Has abstractyes

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