In response to the article “The relationship between renal sinus lipomatosis detected at abdominal computed tomography and abdominal visceral and subcutaneous fat accumulation and metabolic risk factors”. Pol J Radiol 2020; 85: e62-e66
Bibliographic record
Abstract
ENWEndNote BIBJabRef, Mendeley RISPapers, Reference Manager, RefWorks, Zotero AMA Aggarwal A, Bagri N. In response to the article "The relationship between renal sinus lipomatosis detected at abdominal computed tomography and abdominal visceral and subcutaneous fat accumulation and metabolic risk factors". Pol J Radiol 2020; 85: e62-e66. Polish Journal of Radiology. 2022;87(1):232-232. doi:10.5114/pjr.2022.115807. APA Aggarwal, A., & Bagri, N. (2022). In response to the article "The relationship between renal sinus lipomatosis detected at abdominal computed tomography and abdominal visceral and subcutaneous fat accumulation and metabolic risk factors". Pol J Radiol 2020; 85: e62-e66. Polish Journal of Radiology, 87(1), 232-232. https://doi.org/10.5114/pjr.2022.115807 Chicago Aggarwal, Ankita, and Neha Bagri. 2022. "In response to the article "The relationship between renal sinus lipomatosis detected at abdominal computed tomography and abdominal visceral and subcutaneous fat accumulation and metabolic risk factors". Pol J Radiol 2020; 85: e62-e66". Polish Journal of Radiology 87 (1): 232-232. doi:10.5114/pjr.2022.115807. Harvard Aggarwal, A., and Bagri, N. (2022). In response to the article "The relationship between renal sinus lipomatosis detected at abdominal computed tomography and abdominal visceral and subcutaneous fat accumulation and metabolic risk factors". Pol J Radiol 2020; 85: e62-e66. Polish Journal of Radiology, 87(1), pp.232-232. https://doi.org/10.5114/pjr.2022.115807 MLA Aggarwal, Ankita et al. "In response to the article "The relationship between renal sinus lipomatosis detected at abdominal computed tomography and abdominal visceral and subcutaneous fat accumulation and metabolic risk factors". Pol J Radiol 2020; 85: e62-e66." Polish Journal of Radiology, vol. 87, no. 1, 2022, pp. 232-232. doi:10.5114/pjr.2022.115807. Vancouver Aggarwal A, Bagri N. In response to the article "The relationship between renal sinus lipomatosis detected at abdominal computed tomography and abdominal visceral and subcutaneous fat accumulation and metabolic risk factors". Pol J Radiol 2020; 85: e62-e66. Polish Journal of Radiology. 2022;87(1):232-232. doi:10.5114/pjr.2022.115807.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".