Giant gastroduodenal artery pseudoaneurysm as a pancreatic tumor and cause of acute bleeding into the digestive tract
Bibliographic record
Abstract
AMA Budzyński J, Meder G, Suppan K. Giant gastroduodenal artery pseudoaneurysm as a pancreatic tumor and cause of acute bleeding into the digestive tract. Gastroenterology Review/Przegląd Gastroenterologiczny. 2016;11(4):299-301. doi:10.5114/pg.2016.61478. APA Budzyński, J., Meder, G., & Suppan, K. (2016). Giant gastroduodenal artery pseudoaneurysm as a pancreatic tumor and cause of acute bleeding into the digestive tract. Gastroenterology Review/Przegląd Gastroenterologiczny, 11(4), 299-301. https://doi.org/10.5114/pg.2016.61478 Chicago Budzyński, Jacek, Grzegorz Meder, and Karol Suppan. 2016. "Giant gastroduodenal artery pseudoaneurysm as a pancreatic tumor and cause of acute bleeding into the digestive tract". Gastroenterology Review/Przegląd Gastroenterologiczny 11 (4): 299-301. doi:10.5114/pg.2016.61478. Harvard Budzyński, J., Meder, G., and Suppan, K. (2016). Giant gastroduodenal artery pseudoaneurysm as a pancreatic tumor and cause of acute bleeding into the digestive tract. Gastroenterology Review/Przegląd Gastroenterologiczny, 11(4), pp.299-301. https://doi.org/10.5114/pg.2016.61478 MLA Budzyński, Jacek et al. "Giant gastroduodenal artery pseudoaneurysm as a pancreatic tumor and cause of acute bleeding into the digestive tract." Gastroenterology Review/Przegląd Gastroenterologiczny, vol. 11, no. 4, 2016, pp. 299-301. doi:10.5114/pg.2016.61478. Vancouver Budzyński J, Meder G, Suppan K. Giant gastroduodenal artery pseudoaneurysm as a pancreatic tumor and cause of acute bleeding into the digestive tract. Gastroenterology Review/Przegląd Gastroenterologiczny. 2016;11(4):299-301. doi:10.5114/pg.2016.61478.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".