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Record W2345938681 · doi:10.1093/ajcp/aqw069

Limiting the Testing of Aspartate Aminotransferase: Using the Proper Upper Limit of the Reference Interval of Alanine AminotransferaseThe Authors’ Reply

2016· letter· en· W2345938681 on OpenAlexaffabout
Guo‐Ming Zhang, Trefor Higgins, Xu-Xiao Guo, Qian Xu, George Cembrowski

Bibliographic record

VenueAmerican Journal of Clinical Pathology · 2016
Typeletter
Languageen
FieldMedicine
TopicClinical Laboratory Practices and Quality Control
Canadian institutionsAlberta Hospital EdmontonUniversity of Alberta Hospital
Fundersnot available
KeywordsAlanine aminotransferaseLimitingLimit (mathematics)Interval (graph theory)AlanineSection (typography)MedicineMathematicsInternal medicineChemistryBiochemistryComputer scienceCombinatoricsEngineeringMathematical analysis

Abstract

fetched live from OpenAlex

Limiting the Testing of AST: A Diagnostically Nonspecific Enzyme," in which the authors claimed that only aspartate aminotransferase (AST) could be measured when alanine aminotransferase (ALT) exceeds a predetermined limit, and so a substantial health care budget could be saved. That is a great idea. However, some questions need to be clarified about this article. According to the description in the Materials and Methods section, the objects tested were in the city of Edmonton, which is the capital of Alberta, Canada. However, the upper limit of the reference interval (ULRI) of ALT 1,2 (30 U/L) used in the article came from Italy. Our questions are as follows: (1) is the ULRI used in this article suitable to evaluate the objects? and (2) why did the authors not use the reference intervals of ALT 3 that have been generated from the local area? In addition, we found that only the reference intervals of AST were cited in the article but not that of ALT.

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 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)0.012
metaresearch head score (Gemma)0.025
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.561
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.005
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.006
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 head0.212
GPT teacher head0.429
Teacher spread0.217 · 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 teacher head, not a consensus.

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

Citations2
Published2016
Admission routes2
Has abstractyes

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