Variation in geochemical background levels for Jamaican soils
Bibliographic record
Abstract
The complex soils of Jamaica may be subdivided into three groups on the basis of their Fe/Na concentration ratio, which reflects their genetic and pedological development, and the geochemical diversity of their parent materials. The three groups are non-Terra Rossa soils with Fe/Na concentration ratios of <40, Terra Rossa soils with Fe/Na 40–320, and bauxitic soils with Fe/Na >320. A series of ANOVAs demonstrate that the geometric means of As, Cu, Pb, Zn, Cd, Hg, Cr, U and Sm are significantly different from each other for all subpopulations, with the exception of Zn and Hg in Terra Rossa and bauxitic soils. A combination of the Tukey boxplot procedure and the visual inspection of cumulative probability plots is used to estimate the ranges of natural background for the above elements in the three soil environments. It is noted that these estimates based on total and near-total analyses overestimate the actual amounts of the elements that are bioaccesible.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".