Women’s experiences of myocardial infarction were described in terms of gradual onset, not having chest pain, and responding to symptomsCommentary
Bibliographic record
Abstract
J W Albarran Correspondence to: Mr J W Albarran, University of the West of England, Bristol, UK; john.albarran@uwe.ac.uk How do women experience symptoms before and during myocardial infarction (MI)? Qualitative study. A coronary care unit in Bristol, UK. A purposive sample of 12 women ⩾18 years of age (age range 48–78 y), who had an MI (increase in serum troponin >0.1 ng/l, with or without ST-segment elevation on the electrocardiogram) and were free of discomfort for 24 hours after MI. Exclusion criteria were inability to speak English, clinical instability, and cognitive problems. Women participated in 30–45 minute semi-structured interviews, which addressed their thoughts and perceptions of the onset of their symptoms. The term “chest pain” was not included in any questions unless participants used it. Interviews were tape recorded and transcribed verbatim. 3 themes reflected the experiences of women who had an MI. (1) Gradual awareness . Women noticed a series of symptoms in the previous weeks or hours or as part of the acute MI episode. Breathlessness, sometimes associated with physical exertion, was a …
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".