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Record W2989592918 · doi:10.1163/22119434-20192080

Reassessment of taxonomic characters for the plant bug genus Hypseloecus Reuter, with descriptions of new species of Hypseloecus and the related genus Lasiolabops Poppius (Heteroptera: Miridae: Phylinae)

2019· article· en· W2989592918 on OpenAlexaff
Tomohide Yasunaga, Ram Keshari Duwal

Bibliographic record

VenueTijdschrift voor Entomologie · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicHemiptera Insect Studies
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsMiridaeHeteropteraAutapomorphyBiologyGenusTribeHemipteraTaxonZoologyBotanyPhylogenetics

Abstract

fetched live from OpenAlex

The Old World plant bug genus Hypseloecus Reuter of the tribe Pilophorini is reviewed on the basis of detailed observation of the morphological characters, with an updated checklist of Asian congeners. “Pleural glands” are herein suggested as a novel diagnostic character and currently considered as an additional autapomorphy for the genus. Two Asian new species, Hypseloecus nakagawai sp. n. (from Honshu, Japan) and H. aaroni sp. n. (Bagmati Zone, Nepal), are diagnosed and described. The host association and habitat of H. nakagawai are also documented. An Old World pilophorine genus, Lasiolabops Poppius, assumed to be a potential sister taxon of Hypseloecus, is diagnosed and discussed; further, two new species, L. cirratus sp. n. (from Japanese Ryukyus) and L. remicornis sp. n. (from Central Thailand), are described, based on their distinctive vestiture pattern.

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)0.001
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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.039
GPT teacher head0.220
Teacher spread0.181 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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