Introduction to special section: Recent advances in geology and geophysics of deepwater reservoirs
Bibliographic record
Abstract
PreviousNext No AccessInterpretationVolume 6, Issue 4Introduction to special section: Recent advances in geology and geophysics of deepwater reservoirsAuthors: Shu JiangHongliu ZengLorena MoscardelliGrant WachFlávio J. FeijóMichael GardoshTao JiangHongtao ZhuSverre HenriksenSudeep KanungoShu JiangUniversity of Utah, Energy & Geoscience Institute, Salt Lake City, Utah, USA. E-mail: ; .Search for more papers by this authorEmail the author at [email protected]Email the author at [email protected], Hongliu ZengUniversity of Texas, Bureau of Economic Geology, Austin, Texas, USA. E-mail: .Search for more papers by this authorEmail the author at [email protected], Lorena MoscardelliEquinor, Austin, Texas, USA. E-mail: .Search for more papers by this authorEmail the author at [email protected], Grant WachDalhousie University, Department of Earth Sciences, Halifax, Canada. E-mail: .Search for more papers by this authorEmail the author at [email protected], Flávio J. FeijóAposentado, Porto Alegre, Brazil. E-mail: .Search for more papers by this authorEmail the author at [email protected], Michael GardoshMinistry of Energy, Haifa, Israel. E-mail: .Search for more papers by this authorEmail the author at [email protected], Tao JiangChina University of Geosciences, College of Marine Science and Technology, Wuhan, China. E-mail: .Search for more papers by this authorEmail the author at [email protected], Hongtao ZhuChina University of Geosciences, Faculty of Earth Resources, Wuhan, China. E-mail: .Search for more papers by this authorEmail the author at [email protected], Sverre HenriksenEquinor, Trondheim, Norway. E-mail: .Search for more papers by this authorEmail the author at [email protected], and Sudeep KanungoUniversity of Utah, Energy & Geoscience Institute, Salt Lake City, Utah, USA. 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/INT-2018-0830-SPSEINTRO.1 SectionsAboutFull TextPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail "Introduction to special section: Recent advances in geology and geophysics of deepwater reservoirs." Interpretation, 6(4), p. SOiFiguresReferencesRelatedDetails Volume 6Issue 4Nov 2018Pages: 1N-Y5ISSN (print):2324-8858 ISSN (online):2324-8866 publication data© 2018 Society of Exploration Geophysicists and American Association of Petroleum GeologistsPublisher:Society of Exploration GeophysicistsAmerican Association of Petroleum Geologists HistoryPublished Online: 09 Nov 2018Published in print: 01 Nov 2018 CITATION INFORMATION Shu Jiang, Hongliu Zeng, Lorena Moscardelli, Grant Wach, Flávio J. Feijó, Michael Gardosh, Tao Jiang, Hongtao Zhu, Sverre Henriksen, and Sudeep Kanungo, (2018), "Introduction to special section: Recent advances in geology and geophysics of deepwater reservoirs," Interpretation 6: SOi-SOi. https://doi.org/10.1190/INT-2018-0830-SPSEINTRO.1 Plain-Language Summary PDF Download Metrics Loading ...
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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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.366 | 0.173 |
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".