The mining machine as a seismic source for in‐seam reflection mapping
Bibliographic record
Abstract
PreviousNext No AccessSEG Technical Program Expanded Abstracts 2001The mining machine as a seismic source for in‐seam reflection mappingAuthors: Neil TaylorJim MerriamDon GendzwillArnfinn PruggerNeil TaylorUniversity of Saskatchewan, Canada, Jim MerriamUniversity of Saskatchewan, Canada, Don GendzwillUniversity of Saskatchewan, Canada, and Arnfinn PruggerPotash Corporation of Saskatchewan, Canadahttps://doi.org/10.1190/1.1816352 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1816352FiguresReferencesRelatedDetailsCited BySeeing coal-seam top ahead of the drill bit through seismic-while-drilling14 October 2014 | Geophysical Prospecting, Vol. 63, No. 1High-resolution quantitative seismic imaging of a strike-slip fault with small vertical offset in clay rocks from underground galleries: Experimental platform of Tournemire, FranceGEOPHYSICS, Vol. 79, No. 1Seismic Features of Vibration Induced by Mining Machines and Feasibility to be Seismic SourcesProcedia Earth and Planetary Science, Vol. 3Tomographic Imaging of Rock Conditions Ahead of Mining Using the Shearer as a Seismic Source—A Feasibility StudyIEEE Transactions on Geoscience and Remote Sensing, Vol. 47, No. 11Interface prediction ahead of the excavation front by the tunnel-seismic-while-drilling (TSWD) methodGEOPHYSICS, Vol. 72, No. 4Seismic‐while‐drilling by using tunnel boring machine noiseGEOPHYSICS, Vol. 67, No. 6 SEG Technical Program Expanded Abstracts 2001ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2001 Pages: 2135 publication data© 2001 Copyright © 2001 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 03 Jan 2005 CITATION INFORMATION Neil Taylor, Jim Merriam, Don Gendzwill, and Arnfinn Prugger, (2001), "The mining machine as a seismic source for in‐seam reflection mapping," SEG Technical Program Expanded Abstracts : 1365-1368. https://doi.org/10.1190/1.1816352 Plain-Language Summary PDF DownloadLoading ...
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.006 |
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".