Enteral nutrition-related small bowel bezoar: a case report and literature review
Bibliographic record
Abstract
AMA Llobera N, Pasquini M, Reberendo M, Chapela S, Maurette R. Enteral nutrition-related small bowel bezoar: a case report and literature review. Anaesthesiology Intensive Therapy. 2023;55(5):377-381. doi:10.5114/ait.2023.134266. APA Llobera, N., Pasquini, M., Reberendo, M., Chapela, S., & Maurette, R. (2023). Enteral nutrition-related small bowel bezoar: a case report and literature review. Anaesthesiology Intensive Therapy, 55(5), 377-381. https://doi.org/10.5114/ait.2023.134266 Chicago Llobera, Natalia Daniela, Mariana Toffolo Pasquini, Maria Jimena Reberendo, Sebastian Pablo Chapela, and Rafael Maurette. 2023. "Enteral nutrition-related small bowel bezoar: a case report and literature review". Anaesthesiology Intensive Therapy 55 (5): 377-381. doi:10.5114/ait.2023.134266. Harvard Llobera, N., Pasquini, M., Reberendo, M., Chapela, S., and Maurette, R. (2023). Enteral nutrition-related small bowel bezoar: a case report and literature review. Anaesthesiology Intensive Therapy, 55(5), pp.377-381. https://doi.org/10.5114/ait.2023.134266 MLA Llobera, Natalia Daniela et al. "Enteral nutrition-related small bowel bezoar: a case report and literature review." Anaesthesiology Intensive Therapy, vol. 55, no. 5, 2023, pp. 377-381. doi:10.5114/ait.2023.134266. Vancouver Llobera N, Pasquini M, Reberendo M, Chapela S, Maurette R. Enteral nutrition-related small bowel bezoar: a case report and literature review. Anaesthesiology Intensive Therapy. 2023;55(5):377-381. doi:10.5114/ait.2023.134266.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".