Chilaiditi sign in a plain abdominal X-ray – why is it worth remembering?
Bibliographic record
Abstract
ENWEndNote BIBJabRef, Mendeley RISPapers, Reference Manager, RefWorks, Zotero AMA Walczak D, Walczak P, Pawłowska B, Czarnecki M, Wojtyniak M. Chilaiditi sign in a plain abdominal X-ray – why is it worth remembering?. Gastroenterology Review/Przegląd Gastroenterologiczny. 2020;15(1):82-83. doi:10.5114/pg.2020.93635. APA Walczak, D., Walczak, P., Pawłowska, B., Czarnecki, M., & Wojtyniak, M. (2020). Chilaiditi sign in a plain abdominal X-ray – why is it worth remembering?. Gastroenterology Review/Przegląd Gastroenterologiczny, 15(1), 82-83. https://doi.org/10.5114/pg.2020.93635 Chicago Walczak, Dominik A., Paulina Walczak, Beata Pawłowska, Marek Czarnecki, and Michał Wojtyniak. 2020. "Chilaiditi sign in a plain abdominal X-ray – why is it worth remembering?". Gastroenterology Review/Przegląd Gastroenterologiczny 15 (1): 82-83. doi:10.5114/pg.2020.93635. Harvard Walczak, D., Walczak, P., Pawłowska, B., Czarnecki, M., and Wojtyniak, M. (2020). Chilaiditi sign in a plain abdominal X-ray – why is it worth remembering?. Gastroenterology Review/Przegląd Gastroenterologiczny, 15(1), pp.82-83. https://doi.org/10.5114/pg.2020.93635 MLA Walczak, Dominik A. et al. "Chilaiditi sign in a plain abdominal X-ray – why is it worth remembering?." Gastroenterology Review/Przegląd Gastroenterologiczny, vol. 15, no. 1, 2020, pp. 82-83. doi:10.5114/pg.2020.93635. Vancouver Walczak D, Walczak P, Pawłowska B, Czarnecki M, Wojtyniak M. Chilaiditi sign in a plain abdominal X-ray – why is it worth remembering?. Gastroenterology Review/Przegląd Gastroenterologiczny. 2020;15(1):82-83. doi:10.5114/pg.2020.93635.
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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 | 0.002 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 0.016 |
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".