Three‐Dimensional Investigation of Petrocalcic Materials: Insight into Pedogenic Processes and Future Applications
Bibliographic record
Abstract
Computed tomography (CT) imaging was applied to Mormon Mesa petrocalcic and related materials to observe the location, arrangement, and interconnectedness of void spaces and to visualize density differences that may define pedogenic mineral relationships. Density variations visualized by these scans reveal features that may result from long developed pedogenic processes within these unique soil materials. Voids are present as cracks (shown to interconnect three‐dimensionally), elongated spaces filled with unconsolidated materials, and oblate‐spheroidal shapes that appear to be associated with detrital carbonate clasts. Density variations viewed through CT imaging may show the products of mineral neoformation, mineral packing differences during crystal growth, and/or older, denser petrocalcic materials eroded and incorporated via subsequent recementation (pisoliths). Computed tomography scanning can be used to understand unique forms and processes that are vital to our understanding of dissolution/precipitation and other pedogenic processes at work in these mature petrocalcic soils. We encourage the application of CT imaging to similar soil materials.
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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 | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 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".