Real GPS Data collected in Downtown Ottawa
Bibliographic record
Abstract
This file contains real GNSS data collected from a suburban region to a dense urban region in Ottawa. For the interest of the work, only GPS data are collected. The data are collected using two Ublox GNSS units (receivers), namely EVK-M8T and EVK-M8U. EVK-M8T is a timing product that can provide precise timing information for post-processing. EVK-M8U is a product that features dead reckoning mode, making this product reliable even in urban canyons. The data are in the format of UBX, NAV, and OBS. The UBX file is outputed directly by the receiver using u-center (software). The NAV file is converted from the UBX file using RTKLIB, which is an open source program package for GNSS positioning. This file contains data about satellite navigation messages, such as the Keplerian parameters, the ionospheric parameters, etc. The OBS file is also converted from the UBX file using RTKLIB.This file contains the observations about satellite, such as pseudorange, PRN code, etc.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.036 |
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".