Fecal microbiota transplantation is feasible even in critically ill patients with toxic megacolon due to Clostridium difficile infection
Bibliographic record
Abstract
ENWEndNote BIBJabRef, Mendeley RISPapers, Reference Manager, RefWorks, Zotero AMA Zybura J, Dyla A, Mielnicki W. Fecal microbiota transplantation is feasible even in critically ill patients with toxic megacolon due to Clostridium difficile infection. Anaesthesiology Intensive Therapy. 2020;52(2):177-180. doi:10.5114/ait.2020.93712. APA Zybura, J., Dyla, A., & Mielnicki, W. (2020). Fecal microbiota transplantation is feasible even in critically ill patients with toxic megacolon due to Clostridium difficile infection. Anaesthesiology Intensive Therapy, 52(2), 177-180. https://doi.org/10.5114/ait.2020.93712 Chicago Zybura, Joanna, Agnieszka Dyla, and Wojciech Mielnicki. 2020. "Fecal microbiota transplantation is feasible even in critically ill patients with toxic megacolon due to Clostridium difficile infection". Anaesthesiology Intensive Therapy 52 (2): 177-180. doi:10.5114/ait.2020.93712. Harvard Zybura, J., Dyla, A., and Mielnicki, W. (2020). Fecal microbiota transplantation is feasible even in critically ill patients with toxic megacolon due to Clostridium difficile infection. Anaesthesiology Intensive Therapy, 52(2), pp.177-180. https://doi.org/10.5114/ait.2020.93712 MLA Zybura, Joanna et al. "Fecal microbiota transplantation is feasible even in critically ill patients with toxic megacolon due to Clostridium difficile infection." Anaesthesiology Intensive Therapy, vol. 52, no. 2, 2020, pp. 177-180. doi:10.5114/ait.2020.93712. Vancouver Zybura J, Dyla A, Mielnicki W. Fecal microbiota transplantation is feasible even in critically ill patients with toxic megacolon due to Clostridium difficile infection. Anaesthesiology Intensive Therapy. 2020;52(2):177-180. doi:10.5114/ait.2020.93712.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".