Creation of an atlas of lake-sediment geochemistry of Western Labrador and Northeastern Québec
Bibliographic record
Abstract
A geochemical database of 21 678 lake-sediment samples, analysed for 53 elements by ICP-MS after aqua-regia digestion, has been created. Statistical tests and plots of the combined data (in some cases, after the application of levelling functions) show that the disharmony that existed previously – between analyses that employed digestions of differing strengths – can be largely alleviated. This allows the creation of integrated geochemical maps of an area of almost 300 000 km 2 . Many of the large-scale geochemical features revealed by the data are related to the rocks of the Paleoproterozoic ‘Labrador Trough’, within the region termed the New Quebec Orogen. However, those that are defined by an association of Rb, K, Ti, Li, Cs, Mg, Ga, Sn and Th, correlated negatively with LOI, Hg, Se, S, Ag, Cd, Ca and Sr may be related to the relative amounts of organic and inorganic clastic material in the lake sediment, rather than bedrock geology. It is hoped that the merged data will provide assistance to the geological mapping of this large area, as well as providing a stimulus for mineral exploration.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.008 |
| 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) | 0.011 | 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 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".