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Record W132551580 · doi:10.1093/pch/17.2.101

Health hazards related to energy drinks: Are we looking for them?

2012· article· en· W132551580 on OpenAlexaff
Danielle Taddeo, Johanne Harvey, Ariane Boutin

Bibliographic record

VenuePaediatrics & Child Health · 2012
Typearticle
Languageen
FieldMedicine
TopicCoffee research and impacts
Canadian institutionsCentre de Santé et de Services Sociaux de ChicoutimiCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsEnergy (signal processing)Environmental healthMedicineEnvironmental scienceMathematicsStatistics

Abstract

fetched live from OpenAlex

A 14-year-old Caucasian girl presented to the emergency department with a persistent headache lasting 6 h, which was not relieved by acetaminophen and ibuprofen, her fourth similar episode of the month. She worried about having already missed five days of school and wanted medication to prevent further episodes. She denied any recent illness or drug ingestion. The patient had many friends, as well as a boyfriend, and could not think of any stress factors to explain her new condition. Approximately five weeks previously, a friend introduced her to energy drinks that she believed helped her become more focused on her school work. Additional inquiry revealed the presence of nervousness and insomnia; additionally, she mentioned that on two occasions her heart started to beat very quickly. She then asked, “Do you think that the three energy drinks I had yesterday could be related to my headache?” ...

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.004
Open science0.0000.001
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.036
GPT teacher head0.351
Teacher spread0.315 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations7
Published2012
Admission routes1
Has abstractyes

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