Reply to “Comment on ‘Aftershock Statistics for Earthquakes in the St. Lawrence Valley’ by Azadeh Fereidoni and Gail M. Atkinson” by John Ebel
Bibliographic record
Abstract
Reply| December 09, 2015 Reply to “Comment on ‘Aftershock Statistics for Earthquakes in the St. Lawrence Valley’ by Azadeh Fereidoni and Gail M. Atkinson” by John Ebel Azadeh Fereidoni; Azadeh Fereidoni Department of Earth Sciences, Western University, London, Ontario, Canada N6A 5B7afereydo@uwo.cagmatkinson@aol.com Search for other works by this author on: GSW Google Scholar Gail M. Atkinson Gail M. Atkinson Department of Earth Sciences, Western University, London, Ontario, Canada N6A 5B7afereydo@uwo.cagmatkinson@aol.com Search for other works by this author on: GSW Google Scholar Author and Article Information Azadeh Fereidoni Department of Earth Sciences, Western University, London, Ontario, Canada N6A 5B7afereydo@uwo.cagmatkinson@aol.com Gail M. Atkinson Department of Earth Sciences, Western University, London, Ontario, Canada N6A 5B7afereydo@uwo.cagmatkinson@aol.com Publisher: Seismological Society of America First Online: 14 Jul 2017 Online Issn: 1938-2057 Print Issn: 0895-0695 © 2015 by the Seismological Society of America Seismological Research Letters (2016) 87 (1): 152–156. https://doi.org/10.1785/0220150170 Article history First Online: 14 Jul 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Azadeh Fereidoni, Gail M. Atkinson; Reply to “Comment on ‘Aftershock Statistics for Earthquakes in the St. Lawrence Valley’ by Azadeh Fereidoni and Gail M. Atkinson” by John Ebel. Seismological Research Letters 2015;; 87 (1): 152–156. doi: https://doi.org/10.1785/0220150170 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietySeismological Research Letters Search Advanced Search We thank John Ebel for his interest and his comment (Ebel, 2016) on our paper that presented our statistical analysis of aftershock activities in the St. Lawrence Valley, including the sequence from the 1663 Charlevoix earthquake. The main disagreement he had with our paper is that he found it difficult to understand how the data points plotted on figure 5 of Fereidoni and Atkinson (2014; hereafter referred to as FA14) were calculated, and he surmised that they might be in error. We take this opportunity to more fully document the calculation of the data points in question... You do not have access to this content, please speak to your institutional administrator if you feel you should have access.
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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 | 0.003 | 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 | 0.000 | 0.000 |
| 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".