Review of till geochemistry and indicator mineral methods for mineral exploration in glaciated terrain
Bibliographic record
Abstract
Appendix 6-Figure 1. Flowchart showing the sequence of steps for sample processing, archiving, and geochemical analysis of the till matrix that is used at the Geological Survey of Canada. Appendix 6-Figure 2. a) Flowchart showing the main stages of till sample processing to recover the heavy and mid-density mineral fractions and to count indicator minerals that is used by the Geological Survey of Canada. b) photograph of a till sample being passed over a shaking table in the first stage of processing, with light minerals (grey) coming off the table at the bottom of the photo and heavy minerals (dark red and black) coming off the table on the left side. Photograph courtesy of Overburden Drilling Management Limited. Appendix 6-Figure 3. Sample processing flowchart showing the main stages of the processing of a till sample to recover the heavy and mid-density mineral fractions used by the Geological Survey of Finland. Modified from Lehtonen et al. (2015).
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.014 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.007 |
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".