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Record W4250631368 · doi:10.1309/21dkly2r94h192nk

Evolution of an External Quality Assessment Program in Canadian Mycobacteriology Laboratories

2004· article· en· W4250631368 on OpenAlexaboutno aff

Bibliographic record

VenueAmerican Journal of Clinical Pathology · 2004
Typearticle
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsnot available
Fundersnot available
KeywordsTuberculosisMedicineMycobacterium tuberculosisMycobacterium tuberculosis complexClinical microbiologyStandardizationTypingRestriction fragment length polymorphismMedical physicsMicrobiologyBiologyPathologyPolymerase chain reactionGeneticsComputer science

Abstract

fetched live from OpenAlex

In 2000, the Canadian mycobacteriology proficiency testing program was updated and expanded to improve proficiency and standardize the main activities and testing performed in Canadian clinical mycobacteriology laboratories. The program was divided into 2 phases and included samples for acid-fast microscopy, species identification, susceptibility testing for Mycobacterium tuberculosis and nontuberculous mycobacteria, nucleic acid amplification for the detection of M. tuberculosis complex in clinical samples, and restriction fragment length polymorphism (RFLP) typing of M. tuberculosis. Results of participating laboratories are given for a 3-year period (2000-2002). Canadian laboratories exhibited a high level of proficiency in both phases of the program. Improvements were demonstrated in susceptibility testing of M. tuberculosis, and standardization was achieved with Mycobacterium avium complex susceptibility testing. Laboratories demonstrated proficiency in determining unique and identical strains of M. tuberculosis using RFLP; however, difficulties occurred with interlaboratory reproducibility.

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)0.040
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.815
Threshold uncertainty score0.466

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0400.038
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.006
Science and technology studies0.0060.003
Scholarly communication0.0060.002
Open science0.0060.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.054
GPT teacher head0.481
Teacher spread0.427 · 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

Citations2
Published2004
Admission routes1
Has abstractyes

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