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Record W3024915229 · doi:10.5204/thesis.eprints.136811

Development of novel derivatization reagents for analysis of isomeric fatty acids by liquid chromatography-mass spectrometry

2020· dissertation· en· W3024915229 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueQueensland University of Technology · 2020
Typedissertation
Languageen
FieldChemistry
TopicPlant-Derived Bioactive Compounds
Canadian institutionsIONICS Mass Spectrometry (Canada)
Fundersnot available
KeywordsDerivatizationReagentChemistryPhotodissociationMass spectrometryBiomoleculeChromatographyOrganic chemistryBiochemistry

Abstract

fetched live from OpenAlex

This project was a step forward in 'developing next-generation derivatization reagents for photodissociation mass spectrometry', an emerging mass spectrometry activation method for structural elucidation of lipid biomolecules. The method involves synthesis of photo labile derivatization reagents, derivatization with fatty acids and photodissociation of derivatives using 266 nm laser to elucidate subtle features of fatty acids. The thesis investigated the utility of fixed charge photo labile derivatives for identifying unusual fatty acids from lipid extract of vernix caseosa, and optimization of photodissociation efficiency of photolabile derivatives under 266 nm irradiation.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.026
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.012
GPT teacher head0.226
Teacher spread0.214 · 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