Suprasubduction geochemical dataset of ultramafic minerals in Southern Iran: The Ab-Bid complex
Bibliographic record
Abstract
This article presents a curated dataset of major and trace element compositions from ultramafic minerals in the Ab-Bid complex, an ophiolitic massif within the Esfandagheh-Hadji Abad mélange zone in Southern Iran. Samples were collected from orthopyroxenite dykes and their host peridotites. Major element analyses were performed using wavelength-dispersive electron microprobe analysis (EPMA), and trace elements were measured via laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS). The dataset comprises six structured Excel tables covering orthopyroxene, clinopyroxene, olivine, and spinel compositions, including rare earth and high field strength element distributions. Analytical metadata such as spot identifiers, standardization protocols, and operating conditions are included to ensure reproducibility. The data facilitate applications in melt-rock interaction modeling, mineral thermometry, and suprasubduction zone geochemical comparison. Researchers interested in mantle processes, subduction-related metasomatism, or petrological database development will find this dataset particularly valuable.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".