Isolated lower limb gangrene: a caveat of terlipressin therapy
Bibliographic record
Abstract
ENWEndNote BIBJabRef, Mendeley RISPapers, Reference Manager, RefWorks, Zotero AMA Khandelwal A, Gupta D, Haldar R, Rai A. Isolated lower limb gangrene: a caveat of terlipressin therapy. Anaesthesiology Intensive Therapy. 2016;48(5). APA Khandelwal, A., Gupta, D., Haldar, R., & Rai, A. (2016). Isolated lower limb gangrene: a caveat of terlipressin therapy. Anaesthesiology Intensive Therapy, 48(5). Chicago Khandelwal, Ankur, Devendra Gupta, Rudrashish Haldar, and Anindita Rai. 2016. "Isolated lower limb gangrene: a caveat of terlipressin therapy". Anaesthesiology Intensive Therapy 48 (5). Harvard Khandelwal, A., Gupta, D., Haldar, R., and Rai, A. (2016). Isolated lower limb gangrene: a caveat of terlipressin therapy. Anaesthesiology Intensive Therapy, 48(5). MLA Khandelwal, Ankur et al. "Isolated lower limb gangrene: a caveat of terlipressin therapy." Anaesthesiology Intensive Therapy, vol. 48, no. 5, 2016. Vancouver Khandelwal A, Gupta D, Haldar R, Rai A. Isolated lower limb gangrene: a caveat of terlipressin therapy. Anaesthesiology Intensive Therapy. 2016;48(5).
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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 | 0.012 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.011 |
| Insufficient payload (model declined to judge) | 0.016 | 0.005 |
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".