Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To determine the effects of chinook weather conditions on probability of migraine headache onset. BACKGROUND: Many migraineurs believe weather to be a trigger factor for their headaches; however, there is little supportive evidence in the literature. Migraineurs in the southern part of the Canadian province of Alberta frequently report that chinooks, warm westerly winds specific to the region, trigger their headaches. METHOD: Weather data from Environment Canada were used to designate each calendar day during the study period as a chinook, prechinook, or nonchinook day. Headache data were collected from 75 patient diaries from the University of Calgary Headache Research Clinic. Individual and multiple logistic regression models were used to determine if the weather conditions affected the probability of migraine onset. RESULTS: The probability of migraine onset was increased on both prechinook days (odds ratio 1.24; 95% CI 1.08 to 1.42) and on days with chinook winds (1.19; 1.02 to 1.39) compared with nonchinook days. Analysis of chinook wind velocities revealed that for chinook days, the relative risk of migraine onset was increased only on high-wind chinook days (velocity > 38 km/h) (odds ratio 1.41; 95% CI 1.06 to 1.88). A subset of individuals was sensitive to high-wind chinook days, and another subset was only sensitive to prechinook days. Only two patients were sensitive to both weather conditions, and the majority of patients was not sensitive to either. Neither weather condition had a protective effect. Increasing age was associated with high-wind chinook sensitivity (p = 0.009) but not prechinook sensitivity (p = 0.389). CONCLUSIONS: Both prechinook and high-wind chinook days increase the probability of migraine onset in a subset of migraineurs. Because few subjects were found to be sensitive to both weather types, the mechanisms for these weather effects may be independent. This is supported by the presence of an age interaction for high-wind chinook days but not for prechinooks day.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it