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
2014 followed in the wake of two major mergers in the market - both involving the same company. China's Tianqi Lithium Group formally took over Australia's Talison Lithium in September 2013, following a 10-month process. Rockwood Holdings, which initially lost out on the bidding process, then acquired a 49% interest in Talison in December 2013. It was not all doom and gloom in the market as technology partnerships sprung up, making costs lower and projects more attractive. Lithium Americas, which is developing the Olaroz project, began operating its lithium extraction technology, developed with POSCO and Canada's Energi Group also unveiled its own processing technology, which it said could produce up to 50,000 tpa lithium carbonate. Demand over the next few years is slated to come from the battery industry. Tesla Motors' Gigafactory will need up to 25,000 tpa lithium chemicals - most likely hydroxide - at full capacity. An uptick of 20% of total global demand and 50% up on battery demand.
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 | 0.000 |
| 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 | 0.001 |
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