Matters of the Heart: Case-Crossover Analysis of Myocardial Infarction on Valentine's Day
Bibliographic record
Abstract
We studied the risk of myocardial infarction on Valentine's Day. We conducted a case-crossover study of 51,450 adults with myocardial infarctions in February, 1989-2019. The exposure was Valentine's Day, and the 2 days before and after Valentine's Day. We estimated odds ratios (OR) to compare days when myocardial infarction occurred with neighboring control days. Compared with other days, Valentine's Day was associated with lower odds of myocardial infarction the following day for men (OR 0.91, 95% confidence interval 0.85-0.98), but not for men and women combined (OR 0.95, 95% confidence interval 0.91-1.01). Risk of myocardial infarction in men is lower the day after Valentine's Day.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".