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Record W2319305741 · doi:10.1139/apnm-2013-0526

Plasma amino acid profiles of breast cancer patients early in the trajectory of the disease differ from healthy comparison groups

2014· article· en· W2319305741 on OpenAlexafffundvenue
Tyler Barnes, Kirsten E. Bell, Katie M. DiSebastiano, Vivienne Vance, Rhona M. Hanning, Caryl Russell, Joel A. Dubin, Mala Bahl, Nadia Califaretti, Carolyn Campbell, Marina Mourtzakis

Bibliographic record

VenueApplied Physiology Nutrition and Metabolism · 2014
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsGrand River HospitalWilfrid Laurier UniversityMcMaster UniversityUniversity of Waterloo
FundersCanadian Institutes of Health Research
KeywordsBreast cancerInternal medicineMedicineBody mass indexDiseaseEndocrinologyCancerAmino acidOncologyGlutamate receptorThreoninePhysiologyBiologyBiochemistrySerine

Abstract

fetched live from OpenAlex

This study describes and compares fasting plasma amino acid profiles of breast cancer patients near the initiation of chemotherapy with those of healthy age- and body mass index-matched females (HM), as well as young healthy females (HY). Breast cancer patients had significantly greater glutamate and histidine concentrations and significantly lower threonine concentrations compared with HM and HY females independent of protein or caloric intake. These differences may be related to metabolic perturbations associated with the disease.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

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)0.0010.000

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 head0.249
Teacher spread0.237 · 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

Citations30
Published2014
Admission routes3
Has abstractyes

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