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Record W2953645382 · doi:10.5864/d2019-009

Floatation tank associated<i>Pseudomonas aeruoginosa</i>infection

2019· article· en· W2953645382 on OpenAlexafffundvenueabout
Karen Rehbein, Frankie Tsang, Virginia Jorgensen, Emily Peterson

Bibliographic record

VenueEnvironmental Health Review · 2019
Typearticle
Languageen
FieldMedicine
TopicNosocomial Infections in ICU
Canadian institutionsBC Centre for Disease ControlVancouver Coastal Health
FundersBritish Columbia Centre for Disease Control
KeywordsPseudomonas aeruginosaFloat (project management)Serratia marcescensFiltration (mathematics)MicrobiologyEnvironmental scienceChemistryBiologyBacteriaBiochemistryEngineeringEscherichia coli

Abstract

fetched live from OpenAlex

Floatation tank water contains a high concentration of magnesium sulfate (MgSO4), which should be unfavorable to most microorganisms that are not salt tolerant. The high salt concentration also means that users of floatation tanks are more likely to shower after floating and are less likely to float with open sores, get water in their eyes, or ingest the floatation tank water. In addition, the number of daily users is relatively stable. However, despite these factors, pathogens commonly associated with pool or hot tub use can still be found in floatation tanks. A clinical case of Pseudomonas aeruginosa infection associated with exposure to a floatation tank was investigated by Vancouver Coastal Health. The investigation resulted in the issuance of a closure order to the operator of the facility. A clinical specimen obtained from the complainant and a water sample from the implicated floatation tank both tested positive for Pseudomonas aeruginosa, although, the isolates were markedly different. The possible explanations for this laboratory outcome are presented. This case study illustrates that a disruption of floatation tank water filtration, disinfection, salinity, or a combination of some or all of these factors, may result in conditions favorable for bacterial survival, growth, and disease transmission.

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: none
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.019
GPT teacher head0.323
Teacher spread0.304 · 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

Citations1
Published2019
Admission routes4
Has abstractyes

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