Quantitative Minerological Analysis of Some Granite Rocks of Deoghar Jharkhand
Bibliographic record
Abstract
Crystalline minerals in granite rocks has been quantatively analysed by powder X-ray diffraction (XRD) and Scanning Electron Microscope supported with Energy Dispersed Spectroscopy (SEM-EDS). SEM microphotograph reveals that rock is dominated by brightly illuminated quartz imbedded in the matrix with mica and other minor minerals. The X-ray mineral composition data have been plotted with SEM-EDS mineral composition, data shows that the composition obtained by two technique are in consistent within the experimental limit and in good agreement. Further plot of chemical composition of constituent oxides of granite sample by XRD and SEM-EDS confirm the consistency of two technique and similarity with Jharkhand mean granite composition. Silica composition have been plotted with trace element Pb, Ba, Zr, Rb, and Alumina composition with Pb , Ba, Zr and Rb shows that these elements are randomly imbedded in the matrix with almost uniform composition. Al2O 3 composition have been plotted with Ba, Pb, and Zr shows almost constant composition in all the five samples. Based on XRD and SEM-EDS results, it was reveals that granite sample from the study areas are peraluminius rocks composed of mainly quartz, muscovite, kaolinite, chlorite and albite.
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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 | 0.002 | 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".