Автоматизированная система учета и анализа несчастных случаев на энергоустановках
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
In 1999 on the basis of «Mosgosenergonadzor» there have been begun works on working out of information-analytical system (ИАС) bodies of Gosenergonadzor «Power efficiency», consisting of a number of the functional subsystems one of which is the subsystem «The Account and the analysis of accidents on power installations». The instructions of Department of the State power supervision and power savings №32-01-04/38 from 29.11.2000 to Mosgosenergonadzor had been assigned responsibilities under the account and the analysis of accidents on thermal and electric installations in the Russian Federation. For maintenance of introduction of a subsystem of the automated account and the analysis of accidents of Management of Gosenergonadzor in subjects of the Russian Federation organised the tax and submission of the information on each accident in which investigation the inspector of Power supervision, составлющий the accident Registration form participated. The registration form was filled in with the inspector of Gosenergonadzor during realisation of investigation of accident according to applied Methodical recommendations and stored in investigation materials. Since January, 1st, 2001, before commissioning IAC, copies of Cards were monthly directed by e-mail to corresponding regional governments of Gosenergonadzor to 20 dates, following accounting month. Regional governments of Gosenergonadzor of a copy of cards quarterly directed in Mosgosenergonadzor by e-mail to 30 dates, following accounting quarter, since January, 1st, 2001.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.019 |
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