Constraints and potentials of remote sensing data/techniques applied to lithium (Li)-pegmatites
Bibliographic record
Abstract
Research Article| September 30, 2019 Constraints and potentials of remote sensing data/techniques applied to lithium (Li)-pegmatites Joana Cardoso-Fernandes; Joana Cardoso-Fernandes § Department of Geosciences, Environment and Land Planning, Faculty of Sciences, University of Porto, Rua Campo Alegre, Porto, PortugalICT (Institute of Earth Sciences) – Porto pole (Portugal) § Corresponding author e-mail address: joana.fernandes@fc.up.pt Search for other works by this author on: GSW Google Scholar Alexandre Lima; Alexandre Lima Department of Geosciences, Environment and Land Planning, Faculty of Sciences, University of Porto, Rua Campo Alegre, Porto, PortugalICT (Institute of Earth Sciences) – Porto pole (Portugal) Search for other works by this author on: GSW Google Scholar Encarnación Roda-Robles; Encarnación Roda-Robles Departamento de Mineralogía y Petrología, Univ. País Vasco (UPV/EHU), Apdo. 644, 48080-Bilbao, Spain Search for other works by this author on: GSW Google Scholar Ana Cláudia Teodoro Ana Cláudia Teodoro Department of Geosciences, Environment and Land Planning, Faculty of Sciences, University of Porto, Rua Campo Alegre, Porto, PortugalICT (Institute of Earth Sciences) – Porto pole (Portugal) Search for other works by this author on: GSW Google Scholar The Canadian Mineralogist (2019) 57 (5): 723–725. https://doi.org/10.3749/canmin.AB00004 Article history first online: 07 Oct 2019 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Joana Cardoso-Fernandes, Alexandre Lima, Encarnación Roda-Robles, Ana Cláudia Teodoro; Constraints and potentials of remote sensing data/techniques applied to lithium (Li)-pegmatites. The Canadian Mineralogist 2019;; 57 (5): 723–725. doi: https://doi.org/10.3749/canmin.AB00004 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 SocietyThe Canadian Mineralogist Search Advanced Search Lithium (Li) is a mineral commodity increasingly sought after mainly because it is essential to the production of rechargeable Li-ion batteries mainly used in high-tech consumer electronics (like smartphones) and in the green-power industry. This increasing demand of Li is mainly driven by the electric car industry, in the pursuit for more environment-friendly means of transportation, and it will result in an intensive Li exploitation in the near future. Consequently, there is great pressure for mining and exploration companies to achieve fast but accurate results in targeting potentially economic areas. New and untraditional Li exploration methods are needed in order... 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 | 0.008 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".