The seismic network of the Valencian Community
Bibliographic record
Abstract
<!--!introduction!--><b></b> <em>Spain is a country politically divided in states (communities). In the Comunidad Valenciana (Valencian Community, one of these states), after the enact of Law 2/2020 of the Generalitat Valenciana, the Institut Cartogràfic Valencià acquires responsibility for the creation and maintenance of the Valencian Community Broadband Seismic Network. This network has been created from the already existing Seismic Network of the University of Alicante (RSUA) and cover the entire territory of the Valencian Community. The objective of the Valencian Community Broadband Seismic Network, fully operational since the last quarter of 2022, is to serve as a portal for information and awareness of the seismic phenomenon in the community, as well as to provide useful scientific information for all those research groups interested in seismicity and the active tectonics in the Valencian Community. </em>
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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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".