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Record W2087578551 · doi:10.3168/jds.2010-3394

Letter to the editor: Estimation of milk fatty acid yield: A comment on

2010· letter· en· W2087578551 on OpenAlexaff
B.A. Corl, P.Y. Chouinard, J.K. Drackley

Bibliographic record

VenueJournal of Dairy Science · 2010
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid metabolism and biosynthesis
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsFatty acidPalmitic acidTriglycerideChemistryGlycerideGlycerolMilk fatFood scienceYield (engineering)BiochemistryCholesterol

Abstract

fetched live from OpenAlex

Triglyceride, the major lipid of milk fat, is composed of 3 fatty acids (FA) esterified to glycerol. For nutritional studies of milk fat quality and measurement of fatty acid transfer to milk fat, quantifying secreted FA in milk fat is important. A single oxygen within the ester bond links each FA to the glycerol backbone. Each ester bond for TG synthesis requires the transfer of fatty acyl-coenzyme A (CoA) to the glycerol backbone (Pynadath and Kumar, 1964; Kinsella and Gross, 1973), a mechanism highlighted by the requirement for CoA for the esterification of palmitate (Askew et al., 1971).

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)0.005
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.029
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.038
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0030.005
Open science0.0040.001
Research integrity0.0290.028
Insufficient payload (model declined to judge)0.0060.010

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 head0.250
Teacher spread0.238 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations13
Published2010
Admission routes1
Has abstractyes

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