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Record W2029339196 · doi:10.1136/bmjquality.u134.w317

Improving the correct prescription and dosage of gentamicin

2012· article· en· W2029339196 on OpenAlexaff
Imran Qureshi, Mr. Hani Habayeb, Clive Grundy

Bibliographic record

VenueBMJ Quality Improvement Reports · 2012
Typearticle
Languageen
FieldMedicine
TopicAntibiotics Pharmacokinetics and Efficacy
Canadian institutionsReach Technologies (Canada)
Fundersnot available
KeywordsMedicineMedical prescriptionGentamicinPharmacologyIntensive care medicineAntibioticsPediatricsMicrobiologyBiology

Abstract

fetched live from OpenAlex

Gentamicin is an amino glycoside antibiotic, which is used predominantly in gram-negative infections but also has anti-staphylococcal activity. It is commonly used because of its lack of diffogenicity. There are recognised issues with its dosing of which time is a major factor. A baseline study demonstrated that dosing was only being carried out correctly 30% of the time. This has serious consequences for the treatment of infections. This quality improvement project intervened with the use of a gentamicin calculator, which enabled users to perform three complex mathematical equations simultaneously without error. Post measurement demonstrated that correct dosing had increased to 92%, which was a significant increase.

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)0.002
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 score0.433
Threshold uncertainty score0.337

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0000.000

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 head0.043
GPT teacher head0.368
Teacher spread0.325 · 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

Citations7
Published2012
Admission routes1
Has abstractyes

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