Bibliographic record
Abstract
Mountains, an opportunity to participate in exploration for diamonds in a highly prospective region of Quebec. These properties are well located with respect to known diamondiferous kimberlites discovered in the area. Under the terms of a series of Mineral Property Option Agreements, Miranda Diamond Corp. has purchased a 100 % interest in a group of properties acquired through the map staking system in effect for northern Quebec. For the purposes of this report Tamri Geological has assumed that Miranda will be given title to all of the claims that it has agreed to option Over the past year, Ashton Mining Canada Inc. has identified eight diamond-bearing kimberlites in the Renard cluster on their Otish Mountains Foxtrot property. Six of the Miranda projects surround the Renard kimberlites at distances of from 20 to 70kms. The remaining 3 projects are located north and northeast of the Renard cluster along potentially favourable structural trends. Recent exploration activities by Pure Gold Minerals in the Otish Mountains, has resulted in the discovery of two kimberlites, one diamondiferous, on their Tichegami Property, approximately 70kms to the south of
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.584 | 0.320 |
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".