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Record W2105304065 · doi:10.1093/chrsci/49.3.228

Ultra-Performance Liquid Chromatographic Separation and Mass Spectrometric Quantitation of Physiologic Cobalamins

2011· article· en· W2105304065 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

VenueJournal of Chromatographic Science · 2011
Typearticle
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChemistryChromatographyHigh-performance liquid chromatographyResolution (logic)Chromatographic separationParticle sizeRetention timeDetection limitPhase (matter)Analytical Chemistry (journal)

Abstract

fetched live from OpenAlex

The current analytical high-performance liquid chromatography (HPLC) methods by which the various forms of cobalamin can be separated and quantified are limited to tedious chromatographic gradients with run times of 20–30 min and limits of detection (LOD) of 2 nM (2.7 ng/mL). This LOD is far above the physiological range of 148–443 pM (200–600 pg/mL) that is the normal total cobalamin level in human plasma. In this manuscript, benefits of ultra-performance liquid chromatography (UPLC) in which the stationary phase particle size may be reduced from 3.5 µm with a mobile-phase backpressure of 6000 psi in traditional analytical HPLC to a stationary phase particle size of 1.7 µm and a mobile phase backpressure of 15,000 psi in UPLC are reported. UPLC can more than double the chromatographic resolution and reduce each chromatographic run time by 10-fold, such that a complete analysis takes only 3 min per sample.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.619
Threshold uncertainty score0.434

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.042
GPT teacher head0.317
Teacher spread0.275 · 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