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Record W2033316719 · doi:10.1016/j.jhin.2014.01.006

Do active safety-needle devices cause spatter contamination?

2014· article· en· W2033316719 on OpenAlexaff
Martin Roff, Subhashis Basu, Anil Adisesh

Bibliographic record

VenueJournal of Hospital Infection · 2014
Typearticle
Languageen
FieldMedicine
TopicInfection Control in Healthcare
Canadian institutionsSaint John Regional Hospital
Fundersnot available
KeywordsMedicineSyringeContaminationNeedlestick injuryHazardOccupational exposureHuman immunodeficiency virus (HIV)SurgeryMedical emergencyVirology

Abstract

fetched live from OpenAlex

Exposure to blood and body fluids is an occupational hazard in healthcare. Although the potential for blood-borne virus transmission through needlestick injury has been widely studied, the risk of this occurring through spatter contamination from safety-needle syringes is not well understood. This report examines this risk from three commonly used safety needles and suggests that this presents a new and significant hazard. Further work should be commissioned to quantify this hazard and determine which type of safety needle would minimize spatter contamination following syringe discharge and safety activation.

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)0.003
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.000
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.013
GPT teacher head0.307
Teacher spread0.294 · 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 designObservational
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

Citations5
Published2014
Admission routes1
Has abstractno

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