Lake‐Based Magnetic Mapping of Contaminated Sediments, Hamilton Harbour, Ontario, Canada
Bibliographic record
Abstract
PreviousNext No AccessSymposium on the Application of Geophysics to Engineering and Environmental Problems 2002Lake‐Based Magnetic Mapping of Contaminated Sediments, Hamilton Harbour, Ontario, CanadaAuthors: Matthew R. PozzaJoseph I. BoyceWilliam A. MorrisMatthew R. PozzaMcMaster University, Hamilton, Ontario, Canada, Joseph I. BoyceMcMaster University, Hamilton, Ontario, Canada, and William A. MorrisMcMaster University, Hamilton, Ontario, Canadahttps://doi.org/10.4133/1.2927155 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Introductory paragraph for this paper is available only in the PDF and GZipped PS filesPermalink: https://doi.org/10.4133/1.2927155FiguresReferencesRelatedDetails Symposium on the Application of Geophysics to Engineering and Environmental Problems 2002ISSN (online):1554-8015Copyright: 2002 Pages: publication data© 2002 Copyright © 2002 The Environmental and Engineering Geophysical SocietyPublisher:Environmental & Engineering Geophysical Society HistoryPublished: 30 Sep 2008 CITATION INFORMATION Matthew R. Pozza, Joseph I. Boyce, and William A. Morris, (2002), "Lake‐Based Magnetic Mapping of Contaminated Sediments, Hamilton Harbour, Ontario, Canada," Symposium on the Application of Geophysics to Engineering and Environmental Problems Proceedings : P17-P17. https://doi.org/10.4133/1.2927155 Plain-Language Summary PDF DownloadLoading ...
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".