Replication Data for: Statistics of Large Impulsive Magnetic Events In The Auroral Zone
Bibliographic record
Abstract
This data set contains three files, described below. DS01.txt: SMDA harmonic distortion event times (UTC). Harmonic distortion event start times for February 2014 - October 2017. The first line is a header which describes column information. Data is comma separated. DS02.txt: SMDA even harmonic distortion data from the Tilly substation transformer as used in Fig. 6. Each event has been baselined such that the minimum EHD for each event is 0. The first line is a header which describes column information. Data is comma separated. Missing harmonic distortion data corresponding to an impulsive event are marked with all 0 values. This data set is for the impulsive-event triggered EHD Data seen in panel e of Fig. 6. DS03.txt: SMDA even harmonic distortion data from the Tilly substation transformer as used in Fig. 6. Each event has been baselined such that the minimum EHD for each event is 0. The first line is a header which describes column information. Data is comma separated. This data set is for the time periods with similar SME values as seen in panel k of Fig. 6.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 0.053 |
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".