Reply to “Cooperative constrained inversion of multiple electromagnetic data sets” (Michael S. McMillan and Douglas W. Oldenburg, 2014, G <scp>eophysics</scp> , 79, no. 4, B173–B185)
Bibliographic record
Abstract
PreviousNext No AccessGEOPHYSICSVolume 79, Issue 6Reply to “Cooperative constrained inversion of multiple electromagnetic data sets” (Michael S. McMillan and Douglas W. Oldenburg, 2014, Geophysics, 79, no. 4, B173–B185)Authors: Michael S. McMillanDouglas W. OldenburgMichael S. McMillanUniversity of British Columbia, Department of Earth, Ocean and Atmospheric Sciences, Geophysical Inversion Facility, Vancouver, British Columbia, Canada. E-mail: ; .Search for more papers by this authorEmail the author at [email protected]Email the author at [email protected] and Douglas W. OldenburgUniversity of British Columbia, Department of Earth, Ocean and Atmospheric Sciences, Geophysical Inversion Facility, Vancouver, British Columbia, Canada. E-mail: ; .Search for more papers by this authorEmail the author at [email protected]Email the author at [email protected]https://doi.org/10.1190/2014-0306.2 SectionsAboutFull TextPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail REFERENCESMahan, M. K., J. D. Redman, and D. W. Strangway, 1986, Complex resistivity of synthetic sulfide bearing rocks: Geophysical Prospecting, 34, 743–768, doi: 10.1111/j.1365-2478.1986.tb00491.x.GPPRAR0016-8025CrossrefWeb of ScienceGoogle ScholarMcMillan, M. S., and D. W. Oldenburg, 2014, Cooperative constrained inversion of multiple electromagnetic data sets: Geophysics, 79, no. 4, B173–B185, doi: 10.1190/geo2014-0029.1.GPYSA70016-8033AbstractWeb of ScienceGoogle ScholarPelton, W. H., S. H. Ward, P. G. Hallof, W. R. Sill, and P. H. Nelson, 1978, Mineral discrimination and removal of inductive coupling with multifrequency IP: Geophysics, 43, 588–609, doi: 10.1190/1.1440839.GPYSA70016-8033AbstractWeb of ScienceGoogle ScholarRevil, A., 2014, Comment on “Cooperative constrained inversion of multiple electromagnetic data sets” (Michael S. McMillan and Douglas W. Oldenburg, 2014, Geophysics, 79, no. 4, B173–B185): Geophysics, 79, this issue, doi: 10.1190/geo2014-0306.1.GPYSA70016-8033AbstractWeb of ScienceGoogle ScholarWong, J., 1979, An electrochemical model of the induced polarization phenomenon in disseminated sulfide ores: Geophysics, 44, 1245–1265, doi: 10.1190/1.1441005.GPYSA70016-8033AbstractWeb of ScienceGoogle ScholarFiguresReferencesRelatedDetails Volume 79Issue 6Nov 2014Pages: 1ND-Z201ISSN (print):0016-8033 ISSN (online):1942-2156 publication data© 2014 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryReceived: 05 Jul 2014Accepted: 18 Aug 2014Published Online: 23 Oct 2014Published in print: 01 Nov 2014 CITATION INFORMATION Michael S. McMillan and Douglas W. Oldenburg, (2014), "Reply to “Cooperative constrained inversion of multiple electromagnetic data sets” (Michael S. McMillan and Douglas W. Oldenburg, 2014, Geophysics, 79, no. 4, B173–B185)," GEOPHYSICS 79: X32-X33. https://doi.org/10.1190/2014-0306.2 Plain-Language Summary PDF Download Metrics Loading ...
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.015 | 0.023 |
| Insufficient payload (model declined to judge) | 0.020 | 0.021 |
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".