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Record W2077835927 · doi:10.1136/bmj.c5204

High risk clinical characteristics for subarachnoid haemorrhage in patients with acute headache: prospective cohort study

2010· article· en· W2077835927 on OpenAlexafffundabout
Jeffrey J. Perry, Ian G. Stiell, Marco L.A. Sivilotti, Michael J. Bullard, Jacques Lee, Mary A. Eisenhauer, Cheryl Symington, Melodie Mortensen, Jane Sutherland, Howard Lesiuk, George A. Wells

Bibliographic record

VenueBMJ · 2010
Typearticle
Languageen
FieldMedicine
TopicNeurosurgical Procedures and Complications
Canadian institutionsWestern UniversityUniversity of TorontoUniversity of AlbertaQueen's UniversityOttawa HospitalUniversity of Ottawa
FundersUniversity of AlbertaOttawa Hospital Research InstituteLondon Health Sciences CentreCanadian Institutes of Health ResearchUniversity of Ottawa
KeywordsMedicineLumbar punctureSubarachnoid hemorrhageCerebrospinal fluidProspective cohort studyConfidence intervalCohortCohort studySubarachnoid haemorrhageLumbarAnesthesiaSurgeryInternal medicineAneurysm

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.017
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.328
Teacher spread0.313 · 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 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

Citations170
Published2010
Admission routes3
Has abstractyes

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