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Record W3004560238 · doi:10.3138/jammi-2019-0021

<i>Legionella quinlivanii</i> strain isolated from a human: A case report and whole genome sequencing analysis

2020· article· en· W3004560238 on OpenAlexaffvenueabout
Cindy Lalancette, Jean‐Michel Leduc, J. Malo, Éric Fournier, Joseph Saoud, Sébastien P. Faucher, Ana Luisa Pacheco, Kathryn Bernard, Christine Martineau, Simon Lévesque

Bibliographic record

VenueJournal of the Association of Medical Microbiology and Infectious Disease Canada · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLegionella and Acanthamoeba research
Canadian institutionsCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalCentre Hospitalier Universitaire de SherbrookePublic Health Agency of CanadaCentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-JeanMcGill UniversityUniversité de SherbrookeHôpital du Sacré-Cœur de MontréalInstitut National de Santé Publique du Québec
Fundersnot available
KeywordsStrain (injury)EffectorWhole genome sequencingBiologyLegionellaGenomeGeneMicrobiology16S ribosomal RNABacteriaGeneticsImmunology

Abstract

fetched live from OpenAlex

We describe a strain of Legionella quinlivanii isolated from a bronchoalveolar lavage specimen from an 83-year-old patient in the province of Québec. Identification was done using 16S rRNA sequencing. The strain could replicate efficiently in human THP-1 macrophages and maintained a low level of cytotoxicity. Upon analyzing the whole genome sequencing data, the icm/dot secretion system was present, but the strain lacked some effector genes known to express proteins toxic to cells. The pathogenicity of this Legionella species should be investigated further.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score0.256

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.007
GPT teacher head0.234
Teacher spread0.227 · 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 designCase report
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

Citations3
Published2020
Admission routes3
Has abstractyes

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