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Record W2011288903 · doi:10.1080/10575630108041279

MAP<sup>TM</sup>: Microwave-assisted Extraction of Fatty Acids and Py/Gc/Ms Analysis of Selected Insects

2001· article· en· W2011288903 on OpenAlexaff
Varoujan A. Yaylayan, J. R. Jocelyn Paré, Gisèle Matni, Jacqueline M.R. Bélanger

Bibliographic record

VenueNatural product letters · 2001
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Pheromone Research and Control
Canadian institutionsMcGill UniversityEnvironment and Climate Change CanadaSte. Anne's Hospital
Fundersnot available
KeywordsGas chromatography–mass spectrometryExtraction (chemistry)ChemistryChromatographyMass spectrometry

Abstract

fetched live from OpenAlex

A Microwave-Assisted Process (MAP) solvent extraction procedure was used in conjunction with GC/MS analysis to investigate the chemical composition of dried silkworm, dried earthworm, silkworm droppings, and cicada nymph skin. Selected insect samples were also analyzed by pyrolysis-GC-MS. Silkworm and earthworm generated fatty acids, sterols and phenol derivatives. Cicada nymph skin was analyzed by pyrolysis/GC/MS and generated mainly heterocyclic compounds. The data indicated that insects can retain environmental contaminants such as 2,6-bis(1,1-dimethylethyl)-4-methyl phenol (BHT) and as such could be used as biological indicators. In addition, some of the therapeutic characteristics associated with insects could be attributed to the chemicals ingested from plant sources.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

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)0.0030.001

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 head0.012
GPT teacher head0.230
Teacher spread0.218 · 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 designBench or experimental
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

Citations3
Published2001
Admission routes1
Has abstractyes

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