PGE, Au, Ni, Cr and Cu variations in the Komatiites from the Mahakoshal Greenstone Belt, central India
Bibliographic record
Abstract
Komatiites are rare ultramafic volcanic rocks containing more than 18 wt % MgO (Arndt and Niusbet, 1982) that erupted mainly during the Archean and Early Proterozoic and less frequently in the Phanerozoic. The more recent examples tend to have lower MgO content than their Archean equivalents. Komatiites are also characterised by their low incompatiable element content which is consistent with their generation by high degrees of partial melting (30–50%). Komatiites are the hottest lavas erupted on earth (eruption temperatures 1400–1600°C), and therefore they provide important constraints on the composition and thermal structure of the Archean mantle (Sproule et al., 2002). The economic importance of komatiites was first widely recognised in the early 1960s with the discovery of massive nickel sulphide mineralisation at Kambalda, western Australia. Komatiite hosted nickel-copper sulphide mineralisation today accounts for about 14% of world's nickel production, mostly from Australia, Canada and South Africa. The Late Archean Mahakoshal greenstone belt (MGB) in central India is an intracontinental rift (~500 km long) filled with a thick metavolcano-sedimentary sequence. The rocks have undergone greenschist facies metamorphism and polyphase deformation. Komatiites occur in the central part of the MGB near Katni. They are cumulate rocks and are composed mainly of olivine associated with clinopyroxene and orthopyroxene.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| 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".