Compatibilidad de soluciones PPP en línea considerando distintos tiempos de medición respecto a soluciones semanales SIRGAS
Bibliographic record
Abstract
Precise Point Positioning (PPP) online was carried out on a set of daily observation files belonging to 13 GNSS stations of continuous operation in Costa Rica, which were adapted to three-time intervals: 24 hours, 6 hours in the morning and 6 hours in the afternoon. The study was conducted between week 1934 and week 1986. The main objective was to determine the influence of the different time intervals on the PPP solutions obtained through the Canadian CSRS-PPP online service and their discrepancies with respect to the coordinates calculated weekly by the Sistema de Referencia Geodésico para las Américas (SIRGAS) and that are currently linked to the ITRF2014/IGb2014 solution. The results showed that the differences in the geocentric components, in addition to the time interval used in the processing, also depend on the geographical location, which represents an element to consider if users contemplate this online service as an option for computation of GNSS observations.
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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 | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".