Introduction to a Special Issue on the Norilsk-Talnakh Ni-Cu-Platinum Group Element Deposits
Bibliographic record
Abstract
Research Article| September 01, 2020 Introduction to a Special Issue on the Norilsk-Talnakh Ni-Cu-Platinum Group Element Deposits Stephen J. Barnes; Stephen J. Barnes 1Commonwealth Scientific and Industrial Research Organisation (CSIRO) Mineral Resources, P.O. Box 1130 Bentley, Perth, Western Australia 6102, Australia †Corresponding author, e-mail: Steve.Barnes@csiro.au Search for other works by this author on: GSW Google Scholar Kreshimir N. Malitch; Kreshimir N. Malitch 2A.N. Zavaritsky Institute of Geology and Geochemistry, Ural Branch of Russian Academy of Sciences, Vonsovsky str., 15, Ekaterinburg 620016, Russia Search for other works by this author on: GSW Google Scholar Marina A. Yudovskaya Marina A. Yudovskaya 3Institute of Geology of Ore Deposits, Mineralogy, Petrography, and Geochemistry (IGEM RAS), Staromonetny 35, Moscow 119017, Russia4Centre of Excellence for Integrated Mineral and Energy Resource Analysis (CIMERA), University of Witwatersrand, Wits 2050, South Africa Search for other works by this author on: GSW Google Scholar Economic Geology (2020) 115 (6): 1157–1172. https://doi.org/10.5382/econgeo.4750 Article history first online: 25 Aug 2020 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Stephen J. Barnes, Kreshimir N. Malitch, Marina A. Yudovskaya; Introduction to a Special Issue on the Norilsk-Talnakh Ni-Cu-Platinum Group Element Deposits. Economic Geology 2020;; 115 (6): 1157–1172. doi: https://doi.org/10.5382/econgeo.4750 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyEconomic Geology Search Advanced Search The Ni-Cu-platinum group element (PGE) deposits of the Norilsk-Talnakh district in Arctic Siberia are among the most valuable metal accumulations of any kind on Earth. Not only are they extraordinary ore deposits, but they are also an integral part of one of the most cataclysmic events in the history of the planet, the Siberian large igneous province, linked to arguably the most influential event in the Phanerozoic history of terrestrial life, the Permian-Triassic mass extinction. Along with the Sudbury camp, the Norilsk orebodies dominate the global resource of sulfide-hosted Ni and Co and contain a substantial proportion of the global... You do not have access to this content, please speak to your institutional administrator if you feel you should have access.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.224 | 0.091 |
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".