Bibliographic record
Abstract
To recieve my Master degree I have analyzed the working of hydrant network in the area of Trnovo Residence quarter. The analysis has been done with the assistance of QGIS programe, version 2.10.1. The programe is available on network. The first part of my work concerus with a theoretical description of the workings of drinking water supply system and the water supply in general. The geographical information systems and the basis of fire – security planning and all due precautions are given, too. The discription of legislation in Republic Slovenia follows. The continuation is dealing with the analysis of the hydrant networks in Trnovo Residence quarter, where the hydrants are defined rather suitable or unsuitable source of fire – water supply. The aim was to find out how the whole community is covered with the sources of water – the hydrants. According to the results which I have obtained, the estimation of fire – threatening of the whole residence community Trnovo – the population as well as buildings, was made. It was found out that the quarter is fire – endangered to the fourth degree – which means middle to higher fire risk. In this residence quarter there are public as well as higher residential buildings which are most endangered. Therefore the operator of the water system JP Vodovod Kanalizacija Ljubljana simulated 2 hour – deprivation of fire – water in case of 2 hours lasting fire at the top of the daily consumption. The drinking water supply system proved to be capable of such load.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".