GEOCHEMICAL CHARACTERIZATION AND PETROGENESIS OF NIAT-JAL AMPHIBOLITES, SOUTHEAST KOHISTAN, PAKISTAN
Bibliographic record
Abstract
The Kamila Amphibolite Unit (KAU) of southeast Kohistan, Pakistan, represents a thick sequence of metavolcanics which is underlined by the mafic-ultramafic rocks of the Spat Complex along the MMT (Main Mantle Thrust). The meta-volcanics of KAU are intruded by diorites, granitoids and tronjhemites of the Thak intusive complex. KAU is subdivided into four distinct units; Babusar, Niat and Jal amphibolites from south to north with a thin slice of Sumal amphibolites within Niat-Jal amphibolites. Niat and Jal amphibolites generally show strong foliation and alternating bands of mafic and felsic compositions. Niat amphibolites are generally fine to medium grained and composed of amphibole (hornblende and actinolite) and substantial quartz with subordinate plagioclase, epidote and chlorite. Magnetite, sphene, muscovite, and apatite occur as accessory minerals. The Jal amphibolites are fine grained and melanocratic and generally comprised of hornblende and plagioclase with subordinate quartz and sericite. Epidote and sphene occur as accessory minerals. Twenty six samples from both groups have been analyzed for whole rock geochemistry. The studied amphibolites fall in tholeiite group and show enrichment in HFS elements and depletion in LIL elements. Spider diagrams and MgO versus Zr plot show heterogeneous compositional patterns, with three distinct patterns: primitive, less evolved and more evolved. Average concentration of TiO2 (1.99 wt% for Niat amphibolites and 1.56 wt% for Jal amphibolites) and K2O (0.14 wt% for Niat amphibolites and 0.20 wt% for Jal amphibolites) exhibit MORB like composition whereas average Y/Nb ratio (8.9 for Niat amphibolites and 8.4 for Jal amphibolites) are close to N-MORB. Zr/Y vs Zr plot characterized the studied rocks as MORB and they fall in the ocean floor basalt (OFB) field on the triangular Ti/100, Zr, Y*3 diagram.
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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 | 0.001 | 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".