MétaCan
Menu
Back to cohort
Record W4367693087 · doi:10.3897/jhr.96.102865

Synopeas maximum Awad & Talamas (Hymenoptera, Platygastridae): a new species of parasitoid associated with soybean gall midge, Resseliella maxima Gagné (Diptera, Cecidomyiidae)

2023· article· en· W4367693087 on OpenAlexaboutno aff
Gloria Melotto, Jessica Awad, Elijah J. Talamas, Robert L. Koch, Amelia R. I. Lindsey

Bibliographic record

VenueJournal of Hymenoptera Research · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicHymenoptera taxonomy and phylogeny
Canadian institutionsnot available
FundersBundesministerium für Bildung und ForschungUniversity of Minnesota
KeywordsBiologyCecidomyiidaeParasitoidMidgeMonophylyHymenopteraGallCladePhylogenetic treeBotanyZoology

Abstract

fetched live from OpenAlex

Synopeas maximum Awad & Talamas, sp. nov., the first reported parasitoid associated with the soybean gall midge, Resseliella maxima Gagné, is described based on morphological and molecular data. Parasitoids were reared from soybean stems infested by R. maxima in Minnesota. A phylogenetic reconstruction of the genus Synopeas Förster was performed with COI sequences (n=2412) available on the Barcode of Life Data System (BOLD). Phylogenetic and barcode gap analyses suggest 279 Synopeas species in this dataset, with S. maximum sequences forming a monophyletic clade that is distinct from relatives. The Synopeas maximum clade was close to specimens from Canada and the United States, suggesting it is native to North America. We present a taxonomic treatment of S. maximum to facilitate its identification, including comparison to morphologically similar species. This project provides baseline data for further ecological study of R. maxima parasitism, and its management in soybean.

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 score0.002
Threshold uncertainty score0.007

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 communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.096
GPT teacher head0.301
Teacher spread0.205 · 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

Citations11
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Hymenoptera ResearchSame topicHymenoptera taxonomy and phylogenyFrench-language works237,207