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Record W4308186916 · doi:10.1017/cjn.2022.315

Headache and Dizziness after Roller Coaster Rides: A Case Series of 31 Patients

2022· article· en· W4308186916 on OpenAlexvenueno aff
Leon S. Moskatel, Liza Smirnoff

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2022
Typearticle
Languageen
FieldMedicine
TopicRestraint-Related Deaths
Canadian institutionsnot available
Fundersnot available
KeywordsRoller coasterMigraineMedicineExacerbationChronic MigraineAnesthesiaPediatricsSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Previous literature on roller coaster injuries focuses on catastrophic injuries. We conducted a retrospective study of 31 adults with headache or dizziness after roller coaster rides. Twenty five of 31 (81%) patients presented with new or worsening headache, predominantly migraine (15/25, 60%), including 8/25 (32%) with chronic migraine. Of the chronic migraine patients, 4/8 (50%) already had the diagnosis and presented with an exacerbation. Five of the 25 (20%) were ultimately found to have a cerebrospinal fluid (CSF) leak. While persistent symptoms appear to be relatively rare, patients with chronic migraine and potential CSF leaks should consider skipping these attractions.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.562
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.006
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.027
GPT teacher head0.260
Teacher spread0.233 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2022
Admission routes1
Has abstractyes

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