Comparison of photometer and global MHD determination of the open‐closed field line boundary
Bibliographic record
Abstract
We compare open‐closed field line boundary positions from the BATS‐R‐US Global MHD model and CANOPUS photometer measurements of red‐line emissions. We choose intervals of steady interplanetary and ionospheric conditions in order to adhere to the “steady‐state” picture that we are trying to address. Nine intervals are chosen that correspond to stable IMF and auroral conditions that can be simulated with the MHD model. We find that on average, the steady‐state BATS‐R‐US MHD model provides an excellent estimate of the open‐closed field line boundary proxy as determined by the red‐line auroral emissions. Typical errors between the model calculations of the open‐closed field line boundary and the observations are within the inherent error in using the red‐line emissions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".