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Record W2379731509 · doi:10.11646/zootaxa.4109.5.8

First fossil record of Ischaliidae Blair, 1920 (Coleoptera) from Eocene Baltic amber

2016· article· en· W2379731509 on OpenAlexaboutno aff
Vitalii I. Alekseev, Dmitry Telnov

Bibliographic record

VenueZootaxa · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicColeoptera Taxonomy and Distribution
Canadian institutionsnot available
FundersRussian Foundation for Basic Research
KeywordsBiologyBaltic amberFossil RecordPaleontologyEcologyZoologyGenus

Abstract

fetched live from OpenAlex

Ischalia Pascoe, 1860, the monotypic genus of Ischaliidae, was placed as a subfamily among Pyrochroidae or Anthicidae by earlier authors. Nikitsky (1992) raised the status of Ischaliidae to the family rank. This position has been largely accepted and consequently followed by recent authors dealing with Ischalia, as well as in our paper. Ischaliidae is known from the Palaearctic (the Himalayas, East Asia: easternmost Russia, Japan, E China), South East Asia (southwards to Java, Borneo and the Philippines), and the Nearctic region (southern Canada, U.S.A.). No recent European representatives of Ischalia are known. At present, this genus is composed of 43 species worldwide (Gusakov & Telnov 2007; Saitô 2011; Young 2011; Young 2014; Saitô & Young 2015) placed in three subgenera (Young 2011): Ischalia s. str.-37 species, Eupleurida LeConte, 1862-5 species, Nitidischalia Young, 2011-1 species. Ischaliidae is most diverse in tropical rainforests, but many species are also known from subtropical to temperate zones. Adults and larvae of two Nearctic Ischalia feed on fungal mycelium growing on decaying wood of coniferous and broad-leaved trees (e.g. Pinus ponderosa, Lithocarpus densiflora) (Young 1985). Mimicry has been described among Bornean Ischaliidae, Tenebrionidae and Chrysomelidae (Telnov 2005) and also among Ischaliidae, Omalisidae, Lycidae and Endomychidae (Kazantsev & Young 2010).

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 score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.020
GPT teacher head0.206
Teacher spread0.186 · 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
Published2016
Admission routes1
Has abstractyes

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