“NetPICOMAG: a low-cost turn-key magnetometer for aurora detection”
Bibliographic record
Abstract
The Monday poster on netPICOmag elicited interest as deduced from people asking UCLA colleagues if we were really able to do what we presented. This is a good sign, but that poster is described in Ian Schofield’s report. Despite a huge amount of work done before the meeting, it was necessary to take time during the meeting to finalize the poster, which was presented on Thursday. As a deviation from previous practice, which did not seem to lead to easy conversion to the more valuable published paper, this poster was written as a paper. Many of the comments were by co-authors. Valuable input was also had from A. Runov, who is an expert on signatures similar to those observed at the THEMIS spacecraft. At the subsequent THEMIS meeting, useful comments by V. Sergeev will help with tracing of field lines between the Earth and THEMIS regions. It is intended to proceed rather rapidly with the work to a publication, and it is noted that some of the original aspects mentioned in the abstract are in fact secondary, and that the THEMIS B spacecraft was in a rather unique position with regard to the Near-Earth Neutral Line, a significant result that is already under active email discussion with co-authors. As part of planning discussions at the meeting, the joint plan with University of Calgary and STELAB (Nagoya, Japan) to do optical observations early in 2009 was fleshed out, with our likely participation being at Rabbit Lake, SK.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.018 | 0.009 |
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".