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Record W110670699 · doi:10.4137/jcnsd.s2216

Teleradiology and Emergency Neurosurgery-Presence in a Small Asian City State and Need in a Large Canadian Province

2009· article· en· W110670699 on OpenAlexaffabout
Wai Hoe Ng, Ernest Wang, Ivan Ng, Mark Bernstein

Bibliographic record

VenueJournal of brain disease · 2009
Typearticle
Languageen
FieldMedicine
TopicSpinal Fractures and Fixation Techniques
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsTeleradiologyParallelsMedical emergencyHealth careMedicineNeurosurgeryBusinessTelemedicineOperations managementEngineeringPolitical scienceRadiology

Abstract

fetched live from OpenAlex

Teleradiology involving the transfer of vital patient information such as scan images is an important technology to facilitate effective and efficient provision of neurosurgical care in the setting of scarce resources and geographic isolation. We review the implementation of teleradiology initiatives in the small city state of Singapore and its potential and need in the large province of Ontario and draw parallels in their strategic implementation. Although it may seem intuitive that teleradiology has greater applications in regions of vast geographical size, the technology has universal usefulness if applied appropriately in any neurosurgical or health care system.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.025
Threshold uncertainty score0.945

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.012
GPT teacher head0.273
Teacher spread0.261 · 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 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
Published2009
Admission routes2
Has abstractyes

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