Relocation of earthquakes in the Northeast Indian region using joint hypocentre determination method
Bibliographic record
Abstract
CURRENT SCIENCE, VOL. 89, NO. 8, 25 OCTOBER 2005 *For correspondence. (e -mail: gsicgd@cal2.vsn l.net.in) 16. Majumdar, K., Curr. Sci ., 2004, 86 , 1288 –1292. 17. Beroza, G. C. and Ellsworth, W. L., Tectonophysi cs, 1996, 261 , 209 –227. 18. Madden, T. and Mackie, R., Proc. Natl. Acad. Sci. USA , 1996, 93 , 3776 –3780. 19. Fraser -Smith, A. C., Bernardi, A., McGill, P. R., Ladd, M. E., He l-liwell, R. A and Villard, O. G., Geophys. Res. Lett., 1990, 17 , 1465 –1468. 20. Galper, A. M., Koldashov, S. V., Murashov, A. M., Ozerov, Y. V. and Voronov, S. A., www.pereplet.ru/pops/quakes/quakes.html , 1995, pp. 1 –5. 21. Rikitake, T., Oshiman, N. and Hayashi, M., In Developments of Solid Earth Geophys ., Elsevier, 1976, no. 9. 22. Hatai, S. and Abe, N., Proc. Imp. Acad. Jpn. , 1932, 8, 375 –378. 23. Suyehiro, Y., Bull. Earthquake Res. Inst. Univ. Tokyo, Suppl., 1934, 1, 228 –231. 24. Tereda, T., Bull. Earthquake Res. Inst. Univ. Tokyo, 1931, 10 , 393 –401. 25. Skinner, B. J. and Porter, S. C., In The Dynamic Earth, An Intr o-duction to Physical Geology , John Wiley, 2000, 4th edn, p. 396. 26. Beresnev, I. A. and Johnson, P. A., Geophysics , 1994, 59 , 1000–1017. 27. Wakita, H., Igarshi, G., Nakamura, Y., Sano, Y. and Notsu, K., Geophys. Res. Lett ., 1989, 16 , 417 –420. 28. Abercrombie, R. E. and Mori, J., Nature , 1966, 381 , 303 –307. ACKNOWLEDGEMENTS. We are grateful to the Department of Sci ence and Technology, New Delhi and the Department of Atomic E n-ergy, Government of India, for sponsoring the present activ ities. Received 11 January 2005; revised accepted 23 June 2005
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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 | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".