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Record W7101072423

Fig. 1 918 THE JOURNAL OF BONE AND JOINT SURGERY GLOVE PERFORATION DURING HIP ARTHROPLASTY A RANDOMISED

2016· article· en· W7101072423 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemistry
TopicChemical Thermodynamics and Molecular Structure
Canadian institutionsnot available
Fundersnot available
KeywordsPerforationNeedlestick injuryIncidence (geometry)Standard precautionsHepatitis virusBluntHuman immunodeficiency virus (HIV)
DOInot available

Abstract

fetched live from OpenAlex

Exposure to blood is a hazard for all surgeons. We assessed the incidence of glove perforation and needlestick injury from a new blunt taperpoint needle designed to penetrate tissues other than skin with the minimum of force. We performed a prospective, randomised trial comparing the incidence of perforations of surgical gloves with the new needle and a standard cutting needle during wound closure after hip arthroplasties. There was at least one glove perforation in 46 of 69 such procedures (67%). The use of the taperpoint needle produced a significant decrease in perforations(p = 0.049). J Bone Joint Surg [Br] 1993; 75-B:918-20. Vaccination against hepatitis B virus is now available, but only 60 % of surgeons are reported to be immunised (Berridge et al 1990; Brignall and Moran 1991). There is no vaccination against the human immunodeficiency virus (HIV); emphasis must continue to be on protection against contamination. Needlestick injuries are the most common source of blood contamination during surgery (Brough, Hunt and Barrie 1988; Hussain, Latif and

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)0.004
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.864
Threshold uncertainty score0.456

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.1360.011

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 head0.007
GPT teacher head0.187
Teacher spread0.180 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2016
Admission routes1
Has abstractyes

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