Occurrence of Hydrothermal Phosphate Minerals in the Gold Mineralized Zones at Hutti Gold Deposit, Karnataka, South India
Bibliographic record
Abstract
Abstract We report here, for the first time, the occurrence of hydrothermal monazite and xenotime in alteration haloes associated with the gold-mineralized zones of the Hutti Gold Deposit in Karnataka, India These minerals were identified by systematic scanning of polished thin sections in an SEM using backscattered electron and energy dispersive X-ray detectors Most of the grains are very small (<10 μm), although some larger grains (30-40 μm) have also been identified Hydrothermal monazite and xenotime, though volumetncally minor, have been found to be important components in many orogenic gold deposits in Australia, Canada, Brazil and South Africa, as they form a part of the primary ore mineral assemblage, either in ore-bearing veins itself or are intergrown with ore minerals in wallrock alteration zones Both monazite and xenotime are excellent geochronometers, and their importance is that they allow precise ages to be obtained for gold mineralization events The discovery of these minerals in hydrothermally altered rocks from the Hutti gold deposit, Dharwar Craton enables us to estimate the age of gold mineralization event(s)
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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 | 0.000 |
| 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".