Bibliographic record
Abstract
If Toronto-based Avalon Rare Metals' project near the Warren Township at Timmins, Ontario is given the go-head, it will need seasonal ice roadwork. Likewise, its calcium feldspar project is still in pre-feasibility stage and might need ice road support. The Nechalacho rare earth project at Thor Lake in the Northwest Territories is expected to complete permitting in 2015, while its lithium project at Separation Rapids, also in Ontario, is seeking investment for a demonstration plant and is preparing to restart permit applications with the state government. Once the ice thickens to 70cm over the entire road, trucks with very light loads are allowed to cross; when it becomes a metre thick along the entire road, it is strong enough for a Super B tanker (a truck hauling two tanks of fuel and weighing up to 42 tonnes) fully loaded with up to 50,000 litres of fuel to drive across, according to U-Haul. At this point, ice roads are officially open for the winter season. Depending on the region and seasonal temperatures, ice roads can last from a few weeks to several months.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 0.004 |
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".