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Record W4415174393 · doi:10.55446/ije.2025.3376

Phylogenetic Evolution of Coccoidea and Systematics of the Family Diaspididae

2025· article· en· W4415174393 on OpenAlexaboutno aff
Ozodbek TojimatoTOvich Sobirov, Muxiddin Faxriddin O‘g‘li Xafizddinov

Bibliographic record

VenueIndian Journal of Entomology · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicResearch on scale insects
Canadian institutionsnot available
Fundersnot available
KeywordsDiaspididaePhylogenetic treeSystematicsScale insectPhylogeneticsCladisticsTaxonomy (biology)Lineage (genetic)

Abstract

fetched live from OpenAlex

This study analyzes the phylogenetic evolution of scale insects (Hemiptera: Coccoidea) and the systematic development of the family Diaspididae based on paleontological, morphological, and taxonomic data. Fossil specimens from Baltic and Canadian amber, as well as materials from the Eocene and Oligocene, were examined using published sources. The results show that early scale insects emerged as an independent group in the Permian, with the main families forming during the Carboniferous, Permian, and Triassic, while most modern groups originated in the Cretaceous. The family Diaspididae represents the most specialized lineage within Neococcoidea, characterized by reduction in body size, regression of morphological organs, and development of a wax covering. The findings highlight the significance of evolutionary processes in shaping the taxonomy and global distribution of Diaspididae.

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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.255
Teacher spread0.239 · 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
Published2025
Admission routes1
Has abstractyes

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