Централизация лабораторных исследований как один из методов совершенствования лабораторной службы
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper focuses on efficacy of centralization of hospital laboratory units in the town of Oktyabrsky of Bashkortostan Republic. Hospital laboratory equipment deterioration was 90,0%. Centralization contributed to the organization of a centralized clinicodiagnostic and a bacteriologic laboratory. In hospitals, 5 clinical laboratories for performing routine surgeries and 3 express laboratories were available. Staff reduction by 8,3% allowed to increase staffing levels by 14,8%. Laboratory centralization has contributed to economic benefits. In 2012, laboratory service costs in the town o9f Oktyabrsky made up 59 769 632,81 roubles and after 2014 centralization – 58 415 170,77 roubles meaning a 2,3% reduction. The cost structure for laboratory service activities has changed. In 2012, operating costs made up 11%, disposable materials – 39%, labour payment – 50%. In the first quarter of 2014, operating costs made up 4,1%, disposable materials – 54,8%, labour payment – 41,1%.
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.
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 | 0.015 | 0.006 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.007 | 0.002 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.027 | 0.025 |
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 it