The role of oral supplementation in the healing process of venous ulcers
Bibliographic record
Abstract
ENWEndNote BIBJabRef, Mendeley RISPapers, Reference Manager, RefWorks, Zotero AMA Mościcka P, Cwajda-Białasik J, Jawień A, Szewczyk M. The role of oral supplementation in the healing process of venous ulcers. Leczenie Ran. 2022;19(2):55-60. doi:10.5114/lr.2022.115797. APA Mościcka, P., Cwajda-Białasik, J., Jawień, A., & Szewczyk, M. (2022). The role of oral supplementation in the healing process of venous ulcers. Leczenie Ran, 19(2), 55-60. https://doi.org/10.5114/lr.2022.115797 Chicago Mościcka, Paulina, Justyna Cwajda-Białasik, Arkadiusz Jawień, and Maria T. Szewczyk. 2022. "The role of oral supplementation in the healing process of venous ulcers". Leczenie Ran 19 (2): 55-60. doi:10.5114/lr.2022.115797. Harvard Mościcka, P., Cwajda-Białasik, J., Jawień, A., and Szewczyk, M. (2022). The role of oral supplementation in the healing process of venous ulcers. Leczenie Ran, 19(2), pp.55-60. https://doi.org/10.5114/lr.2022.115797 MLA Mościcka, Paulina et al. "The role of oral supplementation in the healing process of venous ulcers." Leczenie Ran, vol. 19, no. 2, 2022, pp. 55-60. doi:10.5114/lr.2022.115797. Vancouver Mościcka P, Cwajda-Białasik J, Jawień A, Szewczyk M. The role of oral supplementation in the healing process of venous ulcers. Leczenie Ran. 2022;19(2):55-60. doi:10.5114/lr.2022.115797.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.026 | 0.010 |
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".