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Record W2053419614 · doi:10.1097/fpc.0b013e3282f60db0

Changes in consensus arylamine N-acetyltransferase gene nomenclature

2008· article· en· W2053419614 on OpenAlexaff
David W. Hein, Sotiria Boukouvala, Denis M. Grant, Rodney F. Minchin, Edith Sim

Bibliographic record

VenuePharmacogenetics and Genomics · 2008
Typearticle
Languageen
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsUniversity of Toronto
FundersNational Cancer InstituteWellcome Trust
KeywordsArylamine N-acetyltransferaseNatNomenclatureGene nomenclatureAlleleBiologyHamsterGeneticsGeneMolecular biologyZoologyTaxonomy (biology)Computer science

Abstract

fetched live from OpenAlex

Changes in consensus arylamine N-acetyltransferase (NAT) gene nomenclature determined at the 2007 International NAT Workshop include: (1) Alleles in all species except mouse and rat are all uppercase. For mouse and rat, the first letter is upper case followed by lower case. (2) The nomenclature system is now species-specific. Thus, NAT2(*)1 (chicken), NAT2(*)2 and NAT2(*)3 (rabbit), Nat2(*)8 Nat2(*)9, Nat2(*)22 and Nat2(*)23 (mouse), NAT2(*)15, NAT2(*)16A and NAT2(*)16B (Syrian hamster), and NAT2(*)20, NAT2(*)21A and NAT2(*)21B (rat) are retired and renumbered within a species. A species modifier incorporated into the allele designation is written in upper case Roman font, e.g., (MOUSE)Nat1(*)1 is now the reference Nat1 allele in mouse; and (3) The NAT website also can now be accessed at a webalias address: http://N-acetyltransferasenomenclature.louisville.edu. New NAT alleles should continue to be submitted to the NAT Nomenclature Committee for inclusion on the website to ensure proper categorization and to continue consistency in nomenclature.

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)0.004
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0110.010

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 head0.021
GPT teacher head0.261
Teacher spread0.240 · 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
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

Citations74
Published2008
Admission routes1
Has abstractyes

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