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Record W4392288374 · doi:10.18280/ijdne.190133

Hemiptera (Heteroptera) of the Infraorder Pentatomomorpha II of the Ile-Alatau State National Natural Park

2024· article· en· W4392288374 on OpenAlexvenueno aff
A. N. Iskakova, P.A. Esenbekova, G.D. Anarbekova, Mark Akoev

Bibliographic record

VenueInternational Journal of Design & Nature and Ecodynamics · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicHemiptera Insect Studies
Canadian institutionsnot available
FundersUniversidad Nacional Agraria La Molina
KeywordsHeteropteraHemipteraNational parkBiologyEcology

Abstract

fetched live from OpenAlex

Field research was undertaken in the Ile-Alatau State National Natural Park, Kazakhstan, between 2020 and 2021, to elucidate the diversity of the hemipteran infraorder Pentatomomorpha II.The investigation focused on two prevalent families within the infraorder: Pentatomidae and Scutelleridae.The objective was to delineate species composition, distribution patterns, and ecological attributes within these taxa.The researchers conducted field surveys within the Ile-Alatau State National Natural Park to identify and classify hemipteran insects belonging to the infraorder Pentatomomorpha II.They employed taxonomic methods and ecological observations to categorize the identified species into various groups based on their life forms, trophic specialization, food preferences, number of generations per year, and habitat preferences.A total of 34 hemipteran species were identified in the park's ecosystem, with taxonomic classification revealing a disproportionately high representation of the family Pentatomidae, which accounted for 30 species (88% of the total).In contrast, the family Scutelleridae comprised a mere 4 species (12%).These findings contribute to a more comprehensive understanding of Pentatomomorpha II diversity within this region and provide a foundation for further ecological and conservation studies.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.661
Threshold uncertainty score0.233

Codex and Gemma teacher scores by category

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

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 head0.012
GPT teacher head0.244
Teacher spread0.233 · 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 teacher head, 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

Citations0
Published2024
Admission routes1
Has abstractyes

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