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Record W6963154008 · doi:10.17632/cm94h6c6mh

Study of mouthparts of the subfamily Curculioninae (Curculionidae)

2020· dataset· en· W6963154008 on OpenAlexaboutno aff

Bibliographic record

VenueMendeley Data · 2020
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsTribeArthropod mouthpartsSubfamilyCladisticsCurculionidaePhylogenetics

Abstract

fetched live from OpenAlex

This study is devoted to the structure of mouthparts of the beetles of the family Curculionidae subfamily Curculioninae (Coleoptera) including mandibles, maxillae and labium, which was not studied earlier. These structures was disarticulated from the specimens, placed in slides with Canada balsam and ilustrated by preliminary photos. The following taxa from Holarctic was studied: tribe Anthonomini - 7 species of Anthonomus (A. ater, A. koenigi, A. quadrigibbus, A. phyllocola, A. rubi, A. signatus, A. terreus), Brachonyx pineti, Bradybatus kellneri, Furcipus rectirostris tribe Acalyptini - Acalyptus carpini tribe Anoplini - Anoplus plantaris tribe Cionini - Cionus tamazo tribe Curculionini - Curculio rubidus tribe Ellescini - Dorytomus dejeani, Ellescus scanicus tribe Mecinini - Mecinus ianthinus tribe Rhamphini - Orchestes testaceus tribe Smicronychini - Smicronyx coecus tribe Tychiini - Tychius picirostris In the course of this study, many new previously unknown features in differents mouthparts have already been discovered. This provide a great deal of additional material for understanding the phylogenetic relationships within Curculioninae. In the near future, we plan to significantly increase the number of studied taxa, so that the data obtained can be more adequately interpreted from the point of view of the phylogeny of the group.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 science0.0000.000
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 head0.143
GPT teacher head0.335
Teacher spread0.192 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2020
Admission routes1
Has abstractyes

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