Response to Comment on Climate Change and Mercury Accumulation in Canadian High and Subarctic Lakes
Bibliographic record
Abstract
ADVERTISEMENT RETURN TO ISSUEPREVCorrespondence/Rebut...Correspondence/RebuttalNEXTResponse to Comment on Climate Change and Mercury Accumulation in Canadian High and Subarctic LakesJane L. Kirk*†, Derek C. G. Muir†, Dermot Antoniades‡, Marianne S. V. Douglas§, Marlene S. Evans∥, Togwell A. Jackson†, Hedy Kling⊥, Scott Lamoureux#, Darlene S. S. Lim▽, Reinhard Pienitz‡, John P. Smol○, Kailey Stewart#, Xiaowa Wang†, and Fan Yang†View Author Information† Aquatic Ecosystem Protection Research Division, Environment Canada, Burlington, ON, Canada L7R 4A6‡ Centre d'études nordiques, Université Laval, Quebec, QC, Canada GIV 0A6§ Canadian Circumpolar Institute, University of Alberta, Edmonton, AB, Canada T6G 1K8∥ Aquatic Ecosystem Protection Research Division, Environment Canada, Saskatoon, SK, Canada S7N 3H5⊥ Algal Taxonomy and Ecology, Winnipeg, MB, Canada R3T 2 × 8# Department of Geography, Queen's University, Kingston, ON, Canada K7L 3N6▽ SETI Institute, Mountain View, CA, United States 94043-2172○ Department of Biology, Queen's University, Kingston, ON, Canada K7L 3N6Phone: (905) 336-4712; fax: (905) 336-6430; e-mail: [email protected]Cite this: Environ. Sci. Technol. 2011, 45, 15, 6705–6706Publication Date (Web):July 8, 2011Publication History Published online8 July 2011Published inissue 1 August 2011https://pubs.acs.org/doi/10.1021/es202053chttps://doi.org/10.1021/es202053carticle-commentaryACS PublicationsCopyright © 2011 American Chemical Society. This publication is available under these Terms of Use. Request reuse permissions This publication is free to access through this site. Learn MoreArticle Views676Altmetric-Citations9LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail PDF (659 KB) Get e-AlertscloseSUBJECTS:Calibration,Deposition,Geological materials,Mercury,Plants Get e-Alerts
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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 | 0.003 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.024 | 0.015 |
| Insufficient payload (model declined to judge) | 0.038 | 0.027 |
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".