Evaluating treatment-seeking for acute myocardial infarction in women
Bibliographic record
Abstract
A telephone survey of 349 randomly-selected women living in Greater Vancouver was conducted to assess their understanding of acute myocardial infarction (AMI). The results revealed that women have not yet personalized AMI risk information. Participants indicated a need for more information pertaining to symptom recognition for AMI; they were largely unaware that females may experience AMI differently than do males. Participants were less aware of the risks that diabetes, obesity and menopause pose for AMI. Approximately 36% of these women intended to delay treatment-seeking in the presence of suspicious AMI symptoms. One-third or fewer participants would call for an ambulance for the most serious AMI symptoms. Alongside a recent poll result indicating that a large majority of Canadians believe immediate emergency care for chest discomfort and chest pain is unnecessary, these findings are an alert to health care professionals that much work lies ahead in educating the public regarding treatment-seeking for AMI.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".