Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
I think everyone in the lithium industry will view the Tesla announcement as positive. believe we could be in a position to supply the Gigafactory as much as anyone else in this industry does, [Jean-Francois Meilleur] told IM. We are positioning ourselves for every end user, Meilleur said. We believe that the glass and ceramics industry is a robust market with little competition, so this is definitely an option for us, especially with the recent closure of the Tanco Mine operated by Cabot. With our low iron spodumene concentrate we meet the industry requirement for this high value per tonne market, Meilleur added. CAPEX is really the only thing holding us back from entering production as we have a large resource that is located in a non-conflict area with all infrastructures available. The lithium carbonate quality is exceptional and we have demonstrate that we can produce it at a lower cost. It also has a low iron content and its geological formation makes it easier for us to extract the lithium - reducing overall costs, Meilleur told IM.
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.
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 | 0.001 |
| 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 | 0.000 | 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 it