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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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.763
Threshold uncertainty score0.334

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations5
Published2024
Admission routes1
Has abstractyes

Explore more

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