Bibliographic record
Abstract
Anthony Williams-Jones, a hydrothermal mineral deposit expert at McGill University, Quebec, told IM that the science and geology of China's rare earths deposits is limited, even in the case of the largest rare earths mine in the world, Bayan Obo, located in Inner Mongolia. Williams-Jones explained that the higher solubility of cerium and lanthanum at lower temperatures and higher pH values also facilitated the presence of heavy rare earth-biased mineralisation at sites like Northern Minerals Ltd's Browns Range project in Australia's Northern Territory. this instance, less soluble heavy rare earth elements were deposited at the project site, whereas cerium and lanthanum, among other light rare earths, remained mobile. The cerium and lanthanum ions simply pass onwards further away from the primary deposit, Williams-Jones told IM. In this regard, geochemical studies can identify the location of potential deposits, whereby lanthanum and cerium concentrations form a distal indicator, which will give way to heavier rare earths concentrations closer to the deposits.
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 | 0.001 |
| 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 | 0.001 | 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".