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Record W4406676109 · doi:10.56367/oag-045-11838

Membrane biogenesis, nutrient transport, and natural health product characterization

2025· article· en· W4406676109 on OpenAlexaff
Marica Bakovic

Bibliographic record

VenueOpen Access Government · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAmino Acid Enzymes and Metabolism
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsBiogenesisCharacterization (materials science)Natural productNatural (archaeology)NutrientChemistryEnvironmental scienceBiologyBiochemistryNanotechnologyMaterials scienceGeneOrganic chemistry

Abstract

fetched live from OpenAlex

Membrane biogenesis, nutrient transport, and natural health product characterization Find out here about Dr. Bakovic, an internationally recognized researcher in membrane biogenesis, nutrient transport, and natural health product characterization. I, Dr. Bakovic, am an internationally recognized researcher in membrane biogenesis, nutrient transport, and natural health product characterization. My laboratory was the first to clone and elucidate the mammalian Pcyt2 gene and protein structure and function. This is an unexplored research area, and my group was uniquely positioned to initiate the first studies on the regulation and function of this key enzyme for membrane lipid phosphatidylethanolamine (PE) synthesis. Most of the current knowledge about PE metabolism has resulted from my group’s fundamental research. They established how Pcyt2 activity and expression are regulated, which capitalized on identifying the first Pcyt2 inhibitors, meclizine and CHY-1.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.004

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 head0.011
GPT teacher head0.307
Teacher spread0.296 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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