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Record W2159466554 · doi:10.1128/jcm.00043-08

Evaluation of Three Automated Nucleic Acid Amplification Systems for Detection of <i>Chlamydia trachomatis</i> and <i>Neisseria gonorrhoeae</i> in First-Void Urine Specimens

2008· article· en· W2159466554 on OpenAlexaffabout
Paul N. Levett, Ken Brandt, K. Olenius, Constance Brown, Kieran Montgomery, Greg B. Horsman

Bibliographic record

VenueJournal of Clinical Microbiology · 2008
Typearticle
Languageen
FieldImmunology and Microbiology
TopicReproductive tract infections research
Canadian institutionsSaskatchewan Disease Control Laboratory
Fundersnot available
KeywordsNeisseria gonorrhoeaeChlamydia trachomatisNucleic acidGonorrheaVirologyChlamydialesUrineChlamydiaceaeMicrobiologyBiologyChlamydiaImmunology

Abstract

fetched live from OpenAlex

A total of 500 first-void urine specimens were tested for the presence of Chlamydia trachomatis and Neisseria gonorrhoeae nucleic acids using ProbeTec ET reagents on a Viper platform (BD Diagnostics, Mississauga, Ontario, Canada), Aptima Combo 2 reagents on a Tigris platform (Gen-Probe, Inc., San Diego, CA), and Abbott RealTime CT/NG reagents on an m2000 platform (Abbott Molecular Diagnostics, Des Plaines, IL). The performance of the three assays for detection of N. gonorrhoeae was comparable, but detection of C. trachomatis by the three assays showed more variation. All three platforms were suitable for the detection of C. trachomatis and N. gonorrhoeae, but additional factors, such as maximum daily specimen throughput, are important in evaluating automated systems for C. trachomatis and N. gonorrhoeae detection in high-volume laboratories.

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)0.010
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.013
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0030.001
Research integrity0.0030.001
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 head0.096
GPT teacher head0.376
Teacher spread0.280 · 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 designBench or experimental
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

Citations58
Published2008
Admission routes2
Has abstractyes

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