Bibliographic record
Abstract
Migraine is the second most common and disabling disease worldwide,1 and some of the associated disability can be attributed to complications of the disease. Status migrainosus, whereby an attack exceeds 72 hours in duration,2 is a complication of migraine that has historically been very understudied. It is unclear how common it is, given limited data, but the few existing prevalence studies have estimated that anywhere from 3% to 20% of people with migraine may experience status migrainosus.3-5 What little evidence is available suggests that it is a considerable public health problem; it is associated with significant disability,5 and people with status migrainosus have a worse migraine prognosis5 and a higher risk of suicide6 when compared with people with migraine who do not experience status migrainosus. People with status migrainosus are also frequently hospitalized for management,4,5 and admissions are incredibly costly, with estimates varying between ∼USD $3,800 and 7,000 per admission.7,8 Unfortunately, existing inpatient therapies have very low levels of evidence to support their use and may have low efficacy rates.9
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.011 | 0.016 |
| Insufficient payload (model declined to judge) | 0.007 | 0.007 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".