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Preparation techniques for the mosquitoes and the blackflies (Diptera: Culicidae: Simuliidae)

2024· article· en· W4393193911 on OpenAlexaboutno aff
А. В. Халин, С. В. Айбулатов

Bibliographic record

VenueProceedings of the Zoological Institute RAS · 2024
Typearticle
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyZoologyEcologyBiology

Abstract

fetched live from OpenAlex

Preparation techniques are given for making permanent or nonpermanent microscope slides of the mosquitoes and the blackflies (Diptera: Culicidae: Simuliidae). We mention here only those that we have personally found to be most satisfactory in the order to further study the morphology of dipterans. These techniques are required for a detailed examination of the diagnostic characters of mosquitoes and blackflies, as a result, to correctly identify the specimens. First, the general stages of processing specimens are considered, then the specifics for making permanent or nonpermanent microscope slides are given (in glycerin, Canadian balsam and euparal). Preparation techniques of larvae and adults (males and females) of mosquitoes and blackflies, as well as blackfly pupae, are discussed in detail, because these processes differ in each group and in each stage of the life cycle. Moreover, we give the technique for damaged material (i.e., as a result of loss of fixing fluid). For the first time, the description of diagnostic characters that are lost during the preparation is considered in detail. We have specified the structures of blackfly larvae, pupae and adults, whose characters must be described before making permanent microscope slides. We consider that some structures (i.e., the male genitalia of fam. Culicidae and Simuliidae) should be pre-examined on nonpermanent microscope slides, and then permanent slides can be made.

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)0.001
metaresearch head score (Gemma)0.001
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: Methods · Consensus signal: Methods
Teacher disagreement score0.023
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0230.019

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 head0.303
Teacher spread0.288 · 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
GenreMethods

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

Citations5
Published2024
Admission routes1
Has abstractyes

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Same venueProceedings of the Zoological Institute RASSame topicMosquito-borne diseases and controlFrench-language works237,207