Ionosphere modelling using carrier smoothed ionosphere observations from a regional GPS network
Bibliographic record
Abstract
Cet article decrit une nouvelle methode de modelisation de l'ionosphere a l'aide de mesures de l'ionosphere ponderees de la porteuse a partir d'un reseau de reference GPS regional, D'apres un modele a grille de l'ionosphere a une seule couche, le contenu electronique total vertical est estime avec des biais satellite-recepteur inter-frequence a l'aide d'un filtre Kalman profile. Avec les donnees d'un reseau GPS operationnel, les resultats numeriques indiquent que le filtre est tres stable et que l'ecart type des estimations de l'ionosphere est de l'ordre du centimetre. Son rendement a de plus ete evalue par une comparsaison avec des cartes de contenu electronique total mondiales obtenues d'une source independante. La methode proposee peut etre mise en oeuvre pour le calcul en temps reel des corrections de l'ionosphere pour soutenir le positionnement et la navigation regionaux de grande precision a l'aide du GPS differentiel.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".