Bibliographic record
Abstract
As we stated in the latest [IM] Fluorspar conference in Vancouver, our company has a dual strategy in the sense that we act as both a standalone company and represent a partial backward vertical integration for Fluorsid Group [Lorenzo Di Donato] highlighted, adding: Although we are certainly not the cheapest source of fluorspar in the world, we are competitive enough to sell to our parent company and to other HF producers. believe this is the most promising set-up for our group's assets. We have three aims with this project, [Richard Clemmey] told IM: We want to drill an area which will give an initial 10-year mine life; we know there is a higher grade zone within the mineralisation, so we want to target that and, finally, there is an area which shows sign of having fluorspar at surface, so we want to look into that. At the end of the day the world needs fluorspar. There's not a single commercial mine in Canada or the US in production, CEO Robert Bick told IM. We are confident we are sitting on a significant resource.
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 | 0.000 | 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".