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Record W2551975877 · doi:10.1111/1556-4029.13281

Using Frons Width to Differentiate Blow Fly Species (Diptera: Calliphoridae) <i>Phormia regina</i> (Meigen) and <i>Protophormia terraenovae</i> (Robineau‐Desvoidy)

2016· article· en· W2551975877 on OpenAlexaff
Sarah V. Langer, Christopher J. Kyle, David Beresford

Bibliographic record

VenueJournal of Forensic Sciences · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicForensic Entomology and Diptera Studies
Canadian institutionsTrent University
Fundersnot available
KeywordsPhormia reginaCalliphoridaeBiologyForensic entomologyPupaAnatomyZoologyMuscaSignificant differenceLarvaMedicineEcologyInternal medicine

Abstract

fetched live from OpenAlex

Protophormia terraenovae (Robineau-Desvoidy) (Diptera: Calliphoridae) and Phormia regina (Meigen) (Diptera: Calliphoridae) are morphologically similar blow fly species commonly used for estimating postmortem intervals. Field collection and storage of adults can result in color changes, in particular on calypters and palps; often collected specimens show damage such as wing fray or fungal growth. We measured the frons width: total head width ratio using photographs (ImageJ version 1.49) to differentiate these two species. Both sexes were distinguishable to species, with the greatest difference between males: 12.34% P. terraenovae versus 1.62% P. regina, less so for females: 40.25% P. terraenovae, versus 33.65% P. regina. Incorporating this feature into future blow fly keys would help with distinguishing field-caught specimens when other features are obstructed.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.044
GPT teacher head0.255
Teacher spread0.211 · 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 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

Citations25
Published2016
Admission routes1
Has abstractyes

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