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Record W3032134211 · doi:10.1002/mus.26990

Guidance for resumption of routine electrodiagnostic testing during the <scp>COVID</scp>‐19 pandemic

2020· article· en· W3032134211 on OpenAlexaff
Urvi Desai, Charles D. Kassardjian, David Del Toro, Nida Gleveckas‐Martens, Jayashri Srinivasan, Deborah A. Venesy, Pushpa Narayanaswami

Bibliographic record

VenueMuscle & Nerve · 2020
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 diagnosis using AI
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsPandemicCoronavirus disease 2019 (COVID-19)Personal protective equipmentMedicineMedical emergencySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakDiagnostic testDuration (music)Emergency medicineDiseaseInfectious disease (medical specialty)Pathology

Abstract

fetched live from OpenAlex

As the world accommodates to the coronavirus disease 2019 (COVID-19) pandemic, routine in-person medical services are resuming. The resumption of non urgent electrodiagnostic (EDX) testing faces unique challenges due to the long duration of the procedure and direct close contact with patients, including studies with risk of exposure to oropharyngeal secretions. We provide consensus guidance for resumption of EDX testing, addressing scheduling, patient arrival and registration, use of personal protective equipment, COVID-19 screening and testing, the performance of EDX testing in outpatient and inpatient settings, cleaning and maintenance of the EDX equipment and laboratory, balancing trainee safety and training requirements, and patient care issues. These are broad recommendations that need to be adapted to local COVID-19 risks, institutional guidelines and policies, and changing federal, state, and local regulations, and to changes in the pandemic over time.

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)0.001
metaresearch head score (Gemma)0.028
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.083
GPT teacher head0.324
Teacher spread0.240 · 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 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

Citations19
Published2020
Admission routes1
Has abstractyes

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