Vertical ionic migration: mechanisms, soil anomalies, and sampling depth for mineral exploration
Bibliographic record
Abstract
Field studies, in particular mobile metal ion analysis of soil samples taken over mineralization, suggest that subtle geochemical anomalies exist above mineral deposits which are demonstrably covered by allochthonous material such as glacial till. Empirical observations suggest that the anomalies are preferentially located 10 to 25 cm below the soil interface, comprise elements contained in ore, and are located directly above the mineralizing source. Laboratory experiments suggest that capillary rise and evaporation play an important part in determining the position of emplacement of ions in the soil profile: in nature, root-zone transpiration also plays a part in solute deposition/adsorption within the evapo-transpiration zone. The effects of downward-percolating water after rainfall events, as well as the upward force of capillary rise, are considered in a model which explains many of the features of ion emplacement in soils. Laboratory modelling also suggests that convection, perhaps due to the heat produced by oxidation of the deposit, may in some cases provide a mechanism for rapid ascension of ions beneath the water table.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".