SuperDARN Radar Software Toolkit (RST) 5.1
Bibliographic record
Abstract
Key updates in version 5.1 of the Radar Software Toolkit (RST) include: New additions Addition of AACGM_v2 and IGRF coefficients to support mapping until the beginning of 2030 New tool (find_elvstat) for info on realistic number of elevation angle measurements in a fit-level file New conversion tool (oldsndtosnd) to convert old sounding data (snd) written in binary format to the more modern dmap format New derivation of eccentric dipole coordinates for the TS18 and TS18-Kp convection models Addition of slant range parameter (srng) to grid and map files New/Updated Radar Information Addition of Iceland East (ice), West (icw); Longjing East (lje), West (ljw); Siziwanqi East (sze), West (szw); Hejing East (hje), West (hjw) radar information Updated hdw.dat files for Blackstone (bks), Kodiak (kod) Updated radar location information based on satellite imagery Addition of tdiff.dat files for several radars Updates to Current Binaries and Libraries Modification to grid_filter binary to allow filtering data based on range as well as control program ID. Updates to fitacfclientgui to allow viewing range gate or slant range, on-screen key menu, selection of groundscatter flag, and color scale control Addition of -xshift and -yshift options to field_plot binary to allow shifts to plotting area; also addition of -databeam option to plot field-of-view edges Addition of -dot option in field_plot to mark radar location Improvements for plotting snd data with time_plot Updates to fit library to check for valid elevation angle information and use the sky noise from fitted data to populate the noise fields in grid and map files Support for beam offset parameter included in rtsnd binary Documentation, Bug fixes and Miscellaneous Improvements to xmldoc and scdoc binaries used for documentation creation Updating version of mpfit from 1.4 to 1.5 Various documentation improvements (e.g. updated installation instructions for Mac OS) Various typo errors, bug fixes, and memory leak fixes Updates to compilation checks in github development environment Support for .tcsh profiles has been removed
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.181 | 0.157 |
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".