Mineralogical Association of Canada
Bibliographic record
Abstract
The highlights of our September issue include a taxonomic assessment of mineral occurrences based on their rarity and uniqueness of paragenesis, a study on the effects of mineral variability on Li contents in the Whabouchi pegmatite, and an assessment on how to correct for mass bias in H and O isotopic analyses in tourmalines by SIMS.In addition, a slew of new minerals are characterized, including two featuring lead, nitroplumbite ([Pb 4 (OH) 4 ](NO 3 ) 4 ) and matthiasweilite (PbTe 4+ O 3 ), plus two featuring siderophile transition metals, pseudodickthomssenite (Mg(VO 3 ) 2 •8H 2 O) and mengeite (Ba(Mg,Mn 2+ ) Mn 3+ 4 (PO 4 ) 4 (OH) 4 •4H 2 O).Our recently most-read publications according to GeoScience World include the following.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.388 | 0.175 |
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".