Response to Comments by Dai et al. on Geochemical Characteristics of Rare-Metal, Rare-Scattered, and Rare-Earth Elements and Minerals in the Late Permian Coals from the Moxinpo Mine, Chongqing, China
Bibliographic record
Abstract
ADVERTISEMENT RETURN TO ISSUEPREVCommentNEXTORIGINAL ARTICLEThis notice is a correctionResponse to Comments by Dai et al. on Geochemical Characteristics of Rare-Metal, Rare-Scattered, and Rare-Earth Elements and Minerals in the Late Permian Coals from the Moxinpo Mine, Chongqing, ChinaShenjun QinShenjun QinKey Laboratory for Resource Exploration Research of Hebei Province, Hebei University of Engineering, Handan, Hebei 056038, People's Republic of ChinaMore by Shenjun Qin, Kang Gao*Kang GaoKey Laboratory for Resource Exploration Research of Hebei Province, Hebei University of Engineering, Handan, Hebei 056038, People's Republic of ChinaDepartment of Chemical Engineering, Université Laval, Québec City, Québec G1V 0A6, Canada*Telephone: +001-4182710683. E-mail: [email protected]More by Kang Gaohttp://orcid.org/0000-0002-9535-5060, Yuzhuang SunYuzhuang SunKey Laboratory for Resource Exploration Research of Hebei Province, Hebei University of Engineering, Handan, Hebei 056038, People's Republic of ChinaMore by Yuzhuang Sun, Jinxi WangJinxi WangKey Laboratory for Resource Exploration Research of Hebei Province, Hebei University of Engineering, Handan, Hebei 056038, People's Republic of ChinaMore by Jinxi Wang, Cunliang ZhaoCunliang ZhaoKey Laboratory for Resource Exploration Research of Hebei Province, Hebei University of Engineering, Handan, Hebei 056038, People's Republic of ChinaMore by Cunliang Zhao, Shenyong LiShenyong LiKey Laboratory for Resource Exploration Research of Hebei Province, Hebei University of Engineering, Handan, Hebei 056038, People's Republic of ChinaMore by Shenyong Li, and Qingfeng LuQingfeng LuKey Laboratory for Resource Exploration Research of Hebei Province, Hebei University of Engineering, Handan, Hebei 056038, People's Republic of ChinaMore by Qingfeng LuCite this: Energy Fuels 2018, 32, 8, 8895–8896Publication Date (Web):July 6, 2018Publication History Received11 May 2018Revised4 July 2018Published online6 July 2018Published inissue 16 August 2018https://pubs.acs.org/doi/10.1021/acs.energyfuels.8b01668https://doi.org/10.1021/acs.energyfuels.8b01668correctionACS PublicationsCopyright © 2018 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 Views579Altmetric-Citations-LEARN 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 (574 KB) Get e-AlertscloseSUBJECTS:Coal,Elements,Minerals,Physical and chemical processes,Pyrite Get e-Alerts
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 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 | 0.001 | 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".