MétaCan
Menu
Back to cohort
Record W2134018137 · doi:10.1177/089686080102103s37

Biofilms in Peritoneal Dialysis

2001· article· en· W2134018137 on OpenAlexaff
Mrinal K. Dasgupta, Marlene Larabie

Bibliographic record

VenuePeritoneal Dialysis International · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial biofilms and quorum sensing
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPeritoneal dialysisBiofilmMedicinePeritonitisMicrobiologyAntibioticsCatheterAntibiotic resistanceBacteriaBacterial growthInternal medicineSurgeryBiology

Abstract

fetched live from OpenAlex

Microbial adhesions and biofilm bacterial growth have been implicated in serious infections associated with the use of bioprosthetic medical devices and indwelling catheters in humans. Biofilm bacterial growth also commonly occurs on peritoneal dialysis (PD) catheters from skin bacteria. Mature biofilms develop high antibiotic resistance and cause recurrent peritonitis and catheter loss in a subgroup of PD patients. That subgroup of patients can be identified by comparing the antibiotic sensitivities [minimum inhibitory concentrations (MICs)] of a biofilm culture and a routine microbiologic (planktonic) culture of the same PD effluent.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.589
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.256
Teacher spread0.246 · 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 teacher head, 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

Citations27
Published2001
Admission routes1
Has abstractyes

Explore more

Same venuePeritoneal Dialysis InternationalSame topicBacterial biofilms and quorum sensingFrench-language works237,207