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Record W2146143720 · doi:10.1128/jcm.05084-11

International Circumpolar Surveillance Interlaboratory Quality Control Program for Serotyping Haemophilus influenzae and Serogrouping Neisseria meningitidis, 2005 to 2009

2011· article· en· W2146143720 on OpenAlexaffabout
Raymond S. W. Tsang, Karen Rudolph, Marguerite Lovgren, Sadjia Békal, Brigitte Lefebvre, Lotte Lambertsen, Tammy Zulz, Michael G. Bruce

Bibliographic record

VenueJournal of Clinical Microbiology · 2011
Typearticle
Languageen
FieldMedicine
TopicPneumonia and Respiratory Infections
Canadian institutionsSte. Anne's HospitalProvincial Laboratory of Public HealthPublic Health Agency of Canada
Fundersnot available
KeywordsNeisseria meningitidisSerotypeHaemophilus influenzaeConcordanceMicrobiologyCircumpolar starPopulationVirologyBiologyMedicineEnvironmental healthBacteriaInternal medicineGeneticsAntibiotics

Abstract

fetched live from OpenAlex

The International Circumpolar Surveillance (ICS) program was initiated in 1999 to conduct population-based surveillance for invasive pneumococcal disease in select regions of the Arctic. The program was expanded to include the surveillance of invasive diseases caused by Neisseria meningitidis and Haemophilus influenzae. An interlaboratory quality control (QC) program to monitor laboratory proficiencies in the serogrouping of N. meningitidis and serotyping of H. influenzae strains was codeveloped by the Arctic Investigations Program (Anchorage, AK) and the Public Health Agency of Canada National Microbiology Laboratory (Winnipeg, Manitoba, Canada) and introduced into the ICS program in 2005. Other participating laboratories included the Provincial Laboratory for Public Health (Edmonton, Alberta, Canada), Laboratoire Santé Publique du Québec (Sainte-Anne-de-Bellevue, Québec, Canada), and Statens Serum Institut (Copenhagen, Denmark). From 2005 through 2009, 50 isolates (24 N. meningitidis and 26 H. influenzae isolates) were distributed among the five participating laboratories. The overall serogroup concordance for N. meningitidis strains was 92.3% (96/104), without including three isolates that were found to express both serogroup Y and W135 specificities. Concordant results were obtained for serogroups A, B, C, and Y among all laboratories. Discrepancies were observed most frequently for serogroups W135, X, Z, and 29E. The overall serotype concordance for H. influenzae was 98% (125/127 attempts). The two discrepant results involved a serotype c strain and a serotype e strain, and in both cases, the serotypeable H. influenzae isolates were misidentified as being nontypeable. These data demonstrate a high degree of concordance for serogroup and serotype determinations of N. meningitidis and H. influenzae isolates, respectively, among the five laboratories participating in this quality control program.

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)0.011
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.302
Threshold uncertainty score0.600

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.006
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.005
Science and technology studies0.0010.001
Scholarly communication0.0020.000
Open science0.0020.001
Research integrity0.0000.001
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 head0.081
GPT teacher head0.422
Teacher spread0.341 · 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

Citations9
Published2011
Admission routes2
Has abstractyes

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