SuperDARN Radar Software Toolkit (RST) 4.2
Bibliographic record
Abstract
New features in version 4.2 of the Radar Software Toolkit (RST) include: TS18 and TS18-Kp statistical convection model (TS18 replacing CS10 as default) Statistical convection model solver (solve_model) Added pre-1900 coefficients for use with AACGM_v2 Implemented new --version option to print current RST version number Added unrecognized command line option handling to remaining binaries Disabled low-power thresholding when converting between dat and rawacf format files Fixed bug when reading data from early (~1993-1995) dat format files Fixed bug when reading records with negative scan flag values Fixed bugs in gridtogrdmap and maptocnvmap conversion routines Fixed bug in trim_fit to allow removal of first record in file Fixed bug in map_addhmb when specifying custom boundary latitude Fixed bug in make_grid preventing custom start times with -i flag Fixed bugs in AACGM_v2 software Fixed numerous plotting bugs Updated Falkland Islands and Stokkseyri hdw.dat files Updated README and documentation for FITACF 3.0 Updated documentation following the -new/-old flag change from previous release (4.1) Cleanup of numerous warning messages during compilation The RST is actively developed and maintained by the SuperDARN Data Analysis Working Group (https://superdarn.github.io/dawg/).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.605 | 0.833 |
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; both teacher heads agree on what is shown here.
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".