MétaCan
Menu
Back to cohort
Record W6949514407 · doi:10.5281/zenodo.14010182

Aphanerostethus darlingi Lewis 2024, sp. nov.

2024· article· en· W6949514407 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicOrthoptera Research and Taxonomy
Canadian institutionsnot available
Fundersnot available
KeywordsMalaiseScutellumEntomologySetaCuticle (hair)White (mutation)

Abstract

fetched live from OpenAlex

Aphanerostethus darlingi Lewis sp. nov. Figs 9 E, F, 16 A, B Specimens examined. Holotype: Malaysia: Borneo: Sarawak: • Gunung Mulu National Park, 1387 m, Camp 3, 4°2.284'N, 114°53.36'E, 27. XI. 2009 – 12. I. 2010, malaise trap, D. C. Darling, B. Hubley, deposited in SFDK, ROM_OSU 308049, JHLHY_DAR_126. Paratype: Malaysia: Borneo: Sarawak: • Gunung Mulu National Park, 1387 m, Camp 3, 4°2.284'N, 114°53.36'E, 24. VII – 21. IX. 2011, malaise trap, D. C. Darling, (1, CMNC), ROM_OSU 308460, JHLHY_DAR_125. Diagnosis. Body length 2.0 mm. Cuticle coated in crusty dark, sandy gray, and white scales in weakly defined pattern. Funicle with six articles. Procoxae contiguous. Only odd-numbered elytral intervals with erect scales. Erect elytral scales evenly distributed, not concentrated in bundle. Scutellum not distinct. Femora each with prominent tooth. Prosternal cavity prominent and with steep lateral ridges. Metaventrite with small tubercle between meta- and mesocoxae, not a distinct transverse ridge. Distribution. This species is currently only known from Gunung Mulu National Park, Borneo, Malaysia. Etymology. The specific name darlingi honors the collector of the type series, Christopher Darling (Royal Ontario Museum), for his contributions to entomology in southeast Asia. It is a genitive, invariable.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.835
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0410.015

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 head0.041
GPT teacher head0.229
Teacher spread0.189 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)Same topicOrthoptera Research and TaxonomyFrench-language works237,207