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Record W2778756031

Cognitieve leidraad voor noodgevallen op de OK--AMC-bundel helpt om geen stappen te vergeten

2015· article· nl· W2778756031 on OpenAlexaff
Lena Koers, Fiona M. Eveleens, W. Schlack, Benedikt Preckel

Bibliographic record

VenueData Archiving and Networked Services (DANS) · 2015
Typearticle
Languagenl
FieldHealth Professions
TopicHealthcare Operations and Scheduling Optimization
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsMedicineCognitionMedical emergencyPerioperativeBundleOperations managementPsychiatrySurgery
DOInot available

Abstract

fetched live from OpenAlex

Crucial management steps in unexpected perioperative emergencies are frequently omitted by OR teams because of the suboptimal performance of the brain under stress.A cognitive aid is a tool that will help care providers to perform and speed up all the necessary management steps of a critical event. We have created a Dutch adaption of the Stanford Emergency Manual, a bundle of cognitive aids to manage a number of life threatening emergencies in the operating theatre. The effectiveness of these cognitive aids has been demonstrated in simulated emergencies. Their use has furthermore, been standard practice in other high-risk industries for many years. Further research should therefore mainly focus on the implementation and optimisation of these tools

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.822
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0020.002
Research integrity0.0010.002
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 head0.141
GPT teacher head0.397
Teacher spread0.256 · 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.

Study designSimulation or modeling
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

Citations0
Published2015
Admission routes1
Has abstractyes

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