Coronary slow flow and microvascular spasm as an underrecognized cause of chest pain
Bibliographic record
Abstract
AMA Figura E, Zaremba M, Rogula S, Rolek B, Gasecka A, Kołtowski Ł. Coronary slow flow and microvascular spasm as an underrecognized cause of chest pain. Advances in Interventional Cardiology/Postępy w Kardiologii Interwencyjnej. 2023;19(3):289-291. doi:10.5114/aic.2023.131484. APA Figura, E., Zaremba, M., Rogula, S., Rolek, B., Gasecka, A., & Kołtowski, Ł. (2023). Coronary slow flow and microvascular spasm as an underrecognized cause of chest pain. Advances in Interventional Cardiology/Postępy w Kardiologii Interwencyjnej, 19(3), 289-291. https://doi.org/10.5114/aic.2023.131484 Chicago Figura, Emilia, Mateusz Zaremba, Sylwester Rogula, Bartosz Rolek, Aleksandra Gasecka, and Łukasz Kołtowski. 2023. "Coronary slow flow and microvascular spasm as an underrecognized cause of chest pain". Advances in Interventional Cardiology/Postępy w Kardiologii Interwencyjnej 19 (3): 289-291. doi:10.5114/aic.2023.131484. Harvard Figura, E., Zaremba, M., Rogula, S., Rolek, B., Gasecka, A., and Kołtowski, Ł. (2023). Coronary slow flow and microvascular spasm as an underrecognized cause of chest pain. Advances in Interventional Cardiology/Postępy w Kardiologii Interwencyjnej, 19(3), pp.289-291. https://doi.org/10.5114/aic.2023.131484 MLA Figura, Emilia et al. "Coronary slow flow and microvascular spasm as an underrecognized cause of chest pain." Advances in Interventional Cardiology/Postępy w Kardiologii Interwencyjnej, vol. 19, no. 3, 2023, pp. 289-291. doi:10.5114/aic.2023.131484. Vancouver Figura E, Zaremba M, Rogula S, Rolek B, Gasecka A, Kołtowski Ł. Coronary slow flow and microvascular spasm as an underrecognized cause of chest pain. Advances in Interventional Cardiology/Postępy w Kardiologii Interwencyjnej. 2023;19(3):289-291. doi:10.5114/aic.2023.131484.
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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 | 0.001 | 0.001 |
| 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) | 0.000 | 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".