DETERMINATIONS OF THE PRELIMINARY COORDINATES FOR THE NEW GNSS PERMANENT STATIONS IN SERBIA
Bibliographic record
Abstract
The new network of permanent GNSS (Global Navigation Satellite System) stations should be established by the end of this year. At the moment, 18 permanent stations are already established. All stations coordinates must be determined following the conditions dictated by the Republic Geodetic Authority of Serbia, i.e., the Rule Book for establishing the GNSS permanent stations network. The coordinates of stations, the final solution, must be calculated from three consecutive uninterrupted daily sessions as a combined solution of all three days. The essential condition that must be fulfilled is the daily repeatability of the coordinates of the points for the three daily solutions on the level of 10 mm in the horizontal direction and 15 mm in the vertical direction. In other words, GNSS coordinates of the permanent station can be treated as calculated and adopted as final if the differences between coordinates of the daily solution and final solution do not exceed 10 mm in the horizontal direction and 15 mm in the vertical direction. In this research, preliminary calculations of coordinates repeatability are checked using Bernese GNSS Software Version 5.2 and two online RINEX processing tools, Australian AUSPOS - Online GPS Processing Service and Canadian CSRS-PPP (Canadian Spatial Reference System Precise Point Positioning).
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".