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Record W4285801767 · doi:10.11647/obp.0300.07

7. The Natural History of Medicinal Flies

2022· book-chapter· en· W4285801767 on OpenAlexfundno aff
Michelle Harvey

Bibliographic record

VenueOpen Book Publishers · 2022
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicEntomological Studies and Ecology
Canadian institutionsnot available
FundersFonds National de la Recherche LuxembourgCanadian Institutes of Health ResearchGriffith UniversityUniversity of Glasgow
KeywordsNatural (archaeology)Natural historyBiologyHistoryBotanyArchaeology

Abstract

fetched live from OpenAlex

When flies are used for therapeutic purposes to treat wounds (maggot therapy), they may be referred to as medicinal flies. Species that have been used for maggot therapy or which are likely candidates for maggot therapy generally belong to the family Calliphoridae, commonly known as blowflies. These flies have ecological relationships, life-history patterns, physiologies, and nutritional requirements that help them exploit cadavers as well as living bodies. The same adaptations can also be harnessed to treat non-healing necrotic wounds. This chapter first introduces the general features of dipteran diversity, morphology, and biology before a closer examination of the family Calliphoridae.

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: Other · Consensus signal: Other
Teacher disagreement score0.009
Threshold uncertainty score0.031

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 studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.003

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 head0.033
GPT teacher head0.215
Teacher spread0.181 · 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
GenreOther

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

Citations21
Published2022
Admission routes1
Has abstractyes

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