Bibliographic record
Abstract
The review of the Arctic basin seismicity for 2013 is presented. It is based mainly on the data from the sta-tions of world network, located outside the basin. The data from a single local seismic station was used. It was "Franz Josef Land" station with two sets of seismic sensors, ZF1 and ZF2. The station is a part the Ar-khangelsk network, operating in the region since September 2011. There were 38 earthquakes with mb=3.0–4.6 in the Arctic basin in total. A map of their epicenters is provided. 28 of them are connected with the seismically active zone, which extends through the deep-water part of the Arctic basin to the shelf of the Laptev Sea. For two earthquakes, the parameters of focal mechanisms are given according to the GCMT da-ta. The magnitude frequency distribution for 2013 is compared with the distributions for 1990-2012. The level of seismic energy released in 2013 is 1.3 times lower than in 2012 and 1.6 times higher than its average one for 23 previous years. The distribution of earthquakes in the Arctic region in 2013 is presented.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.011 |
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".