Evaluating portable Raman spectrometers for use in exploration of pegmatite dikes, Wekusko Lake, Manitoba
Bibliographic record
Abstract
Pegmatite deposits are an important source of lithium, which increasingly is used in battery technologies. The rare-metal pegmatite dikes of the Green Bay group from the Wekusko Lake pegmatite field in Manitoba offer an excellent opportunity to investigate new exploration techniques for lithium pegmatites. The dikes were mapped and sampled during the summer of 2018, and this work revealed that the pegmatite dikes are deformed and folded. The examination of drill core revealed that the pegmatite dikes exhibit five zones, defined by their minerology and grain size: a border zone, wall zone, intermediate zone, central zone and a core zone. The zones vary in width and all zones are not always present in each pegmatite. The crystal habit of muscovite, feldspar and spodumene vary based on the host zone and muscovite mineral chemistry is being examined as a potential vector for Li mineralization. Columbite-group (CGM) minerals are zoned with respect to Nb and Ta values and primary grains have been selected for U-Pb geochronological studies.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".