Lighting management in a closed water environment
Bibliographic record
Abstract
TM to the atmosphere can be provided by the CHP plant and the waste processing plant located in the city of Brest.Also alarming is the battery plant under construction in the Telma area -2 in Brest.BIBLIOGRAPHY 1. National report on the inventory of anthropogenic emissions by sources and removals by sinks of greenhouse gases not controlled by the Montreal Protocol for the period 1990-2012 / Research Institute of BelNC "Ecology".-Minsk, 2014.-182 p. 2. National report on the inventory of anthropogenic emissions by sources and removals by sinks of greenhouse gases not controlled by the Montreal Protocol for 1990-2008 / Research Institute of BelNC "Ecology".-Minsk, 2010.-210 p. 3. National report on the inventory of anthropogenic emissions by sources and removals by sinks of greenhouse gases not controlled by the Montreal Protocol for 1990-2007 / M n of natures.resources and protection of the environment. of the Republic of.Belarus, Rep. Research Institute of BelNC "Ecology".-Minsk, 2009.-169 p. 4. Waste generation [Electronic resource] // National Statistical Committee of the Republic of Belarus.http://www.belstat.gov.by/ofitsialnaya-statistika/makroekonomika-i-okruzhayushchaya-sreda/okruzhayuschayasreda/sovmestnaya-sistema-ekologicheskoi-informatsii2/i-othody/i-1-obrazovanie-othodov / Date of access: 10/16/16.5. Waste burial sites [Electronic resource] // Ministry of Natural Resources and Environmental Protection of the Republic of Belarus.-http://www.minpriroda.gov.by/uploads/files/Perechen
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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".