High serum procalcitonin concentration and dynamics of its changes as a prognostic factor of mortality
Bibliographic record
Abstract
ENWEndNote BIBJabRef, Mendeley RISPapers, Reference Manager, RefWorks, Zotero AMA Albin M, Nikodemski T. Always check anaesthetic equipment. Anaesthesiology Intensive Therapy. 2018;50(1). APA Albin, M., & Nikodemski, T. (2018). Always check anaesthetic equipment. Anaesthesiology Intensive Therapy, 50(1). Chicago Albin, Malgorzata, and Tomasz Nikodemski. 2018. "Always check anaesthetic equipment". Anaesthesiology Intensive Therapy 50 (1). Harvard Albin, M., and Nikodemski, T. (2018). Always check anaesthetic equipment. Anaesthesiology Intensive Therapy, 50(1). MLA Albin, Malgorzata et al. "Always check anaesthetic equipment." Anaesthesiology Intensive Therapy, vol. 50, no. 1, 2018. Vancouver Albin M, Nikodemski T. Always check anaesthetic equipment. Anaesthesiology Intensive Therapy. 2018;50(1).
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".