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Record W3105369799 · doi:10.1111/phen.12343

Tracing sources of carbon and hydrogen to stored lipids in the migratory moth, <i>Mythimna unipuncta</i> using stable isotopes ( <scp> δ <sup>2</sup> H </scp> , <scp> δ <sup>13</sup> C </scp> )

2020· article· en· W3105369799 on OpenAlexafffund
Libesha Anparasan, Jeremy N. McNeil, Keith A. Hobson

Bibliographic record

VenuePhysiological Entomology · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicIsotope Analysis in Ecology
Canadian institutionsEnvironment and Climate Change CanadaWestern University
FundersNatural Sciences and Engineering Research Council of CanadaWestern University
KeywordsBiologyLepidoptera genitaliaIsotopeNectarMythimna separataBotanyLarvaStable isotope ratioInsectZoology

Abstract

fetched live from OpenAlex

Abstract Stable isotope measurements of insect tissues can be used to determine origin and migratory patterns. The isotopic links between diet and stored lipids in laboratory reared true armyworm moths (Mythimna unipuncta , Haw.) were investigated using δ 13 C and δ 2 H measurements. Newly emerged moths were fed synthetic nectars, consisting of different carbohydrate and water sources that were isotopically distinct from those in the larval diet. After 4 days of feeding, insects were sacrificed, and fat‐body lipids were extracted for isotopic analysis. When held on a constant nectar source, adult diet contributed ∼87% of the C and 44% H of lipids. For H, 27% and ∼ 17% of lipid was derived from carbohydrates and water, respectively, with the remainder presumably from the larval stage. When the isotopic composition of the nectar source was switched there was rapid and exponential temporal change in lipid isotopic profiles. The relevance of our findings to tracing origins of stored lipids in migrant Lepidoptera is discussed.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
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)0.0000.000

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 head0.022
GPT teacher head0.233
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

Citations4
Published2020
Admission routes2
Has abstractyes

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