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Record W4213058664 · doi:10.11646/zootaxa.5099.4.3

Australian Melolonthini (Coleoptera: Scarabaeidae: Melolonthinae): a third species of Allothnonius Britton, 1978, and notes on the other known species

2022· article· en· W4213058664 on OpenAlexaff
P. G. Allsopp, Andrew B. T. Smith

Bibliographic record

VenueZootaxa · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicScarabaeidae Beetle Taxonomy and Biogeography
Canadian institutionsCanadian Museum of Nature
FundersCommonwealth Scientific and Industrial Research Organisation
KeywordsScarabaeidaeBiologyGenusIdentification keyEcologyZoologyTaxonomy (biology)Key (lock)

Abstract

fetched live from OpenAlex

The genus Allothnonius Britton, 1978 (Coleoptera: Scarabaeidae: Melolonthinae: Melolonthini) is revised based on material of the two previously described Queensland species, A. barretti Britton, 1978 and A. brooksi Britton, 1978; and A. mouldsi Allsopp Smith, new species, from the northwest of the Northern Territory. The diagnostic characters of the genus are revised, distinguishing it from other Australian Melolonthini. The female of A. brooksi is described for the first time. An identification key, distribution map and notes on the natural history of the three species are included.

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 score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.028
GPT teacher head0.209
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

Citations1
Published2022
Admission routes1
Has abstractyes

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