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Record W3138927936 · doi:10.3138/jammi-2020-0025

<i>Mycobacterium mucogenicum</i> and <i>Mycobacterium neoaurum</i> bacteremia in immunocompromised hosts

2021· article· en· W3138927936 on OpenAlexaffvenueabout
Armelle Pérez-Cortés Villalobos, Coleman Rotstein

Bibliographic record

VenueJournal of the Association of Medical Microbiology and Infectious Disease Canada · 2021
Typearticle
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsBacteremiaMedicineAntimicrobialMicrobiologyBlood cultureMycobacteriumIsolation (microbiology)Intensive care medicineAntibioticsBiologyPathologyTuberculosis

Abstract

fetched live from OpenAlex

Background: are infrequent causes of bacteremia in humans. When they are isolated from blood, it is not unusual for them to initially be considered contaminants. Methods: bacteremia from January 1998 to December 2018 was conducted at the University Health Network, Toronto, Ontario, Canada. Results: We identified 28 patients who had bacteremia caused by these organisms. These patients were primarily immunocompromised, had chronically indwelling vascular access devices, or used intravenous drugs. For 29% of the patients, the isolation of these mycobacteria was considered colonization, whereas 82% of the patients received antimicrobial therapy and 95% had the central line removed. Conclusions: The removal of the vascular access device and treatment with either single or combination antimicrobial therapy produced successful outcomes for people with these infections.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.004
GPT teacher head0.222
Teacher spread0.218 · 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

Citations2
Published2021
Admission routes3
Has abstractyes

Explore more

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