Application of various methodological approaches for assessment of soil micromorphology due to VESTA program applicable to prediction of the soil structures formation
Bibliographic record
Abstract
Received: 2015-07-22  |  Accepted: 2016-03-11  |  Available online: 2016-05-30 dx.doi.org/10.15414/afz.2016.19.02.68-73 This work introduces concepts of methodological approach (theoretical investigation) in terms of soil structure analysis. The aim of this work is using VESTA program application as appropriate alternative to quantification of micromorphological analysis. This evaluation mainly with regarded to effects for soils structure at the interactions/ predictions with many aspects of aggregate destruction-stability-reactivity in soil system. This work elucidates different kind of methodological approaches such as implementation 2D micromorphological model, X-ray analysis and their extrapolation in VESTA program. There is some evidence that construct data and parameters gained from this program are suitable for other considerations. For these points is possible to assign of reaction kinetic, established minerals phase and genetic relationships in soil system, detect of potential transformation, mobilization and immobilization activity, distribution of elements species even by general and specific properties of aggregate forms. Detailed characterization (modeled design) of rocks and minerals inorganic particles of soil aggregate forms on the atomic level has significant importance due to detailed data examinations input. In the case of operation module could eliminate of influence various undetected (non-identify) factors and in additionally refine on standardize appropriate fitted the more realistic model. Keywords: methodological approach, micromorphology, X-ray analysis, VESTA design References BARKER, W. et al. (1998) Experimental observations of the effects of bacteria on aluminosilicate weathering. Am Mineral ., vol. 83, pp. 1551-1563. BRONICK, C.J. and LAL, R. 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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".