Desert Geology, Economic Geology and Focal Analysis Studies by Means of Microprobe Noorabad Ophiolite (Northwest Lorestan, West Iran)
Bibliographic record
Abstract
The case area under study from geographical point of view is located in 35 15 to 33 30 and E from 48 30 to 47 00 and involve parts of Lorestan north western and Kermanshah south western parts which extends partly to Alashtar , Noorabad, Harsin and Kermanshah. This climatically and mountainous area has a cold and rainy climate. The highest part in the peak is the Gareen mountain in Alashtar with the height of 3500 meters. The volcanic rocks in the north west of Noorabad are in the district of Zagross within Sanandaj and sirjsn. The above mentioned Ophiolite is a main part into of Kermanshah Ophiolite. The high Zagross is divided into three parts which includes: limestone Bistoon, Bakhtaran Ophiolite and Radiolarits. The rocks of this complex from lower to upper layers include Peridutits, Gabro layers, Isotop Gabroes, alittle Plagiogeranite, Daik, Bazalt, Andesite and some other rocks. The Petrogeraphic studies revealed that the primary inorganic was analyzed into secondary inorganic Ophiolite such as Iron Oxidation and Colorite. As well, the organics in there rocks include Calco pyroxene, Bornits, Malacits, Azorits and metal Oxidation. Analysis of some of the Geogemical samples in some areas showed a considerable amount of TI, Mn, and Cu. In reality, the basic purpose of this research is about the Cu inorganic volcanic rocks (Andesite and Bazalte). The Anomaly areas are more related which heterogonous of (Colorite, Epidote, seresite and Propelitic). However, the results of the Ophiolite volcanic showed that these rocks include Cu Anomaly. The cases under study in Basalt, Andesite, Riolite, Tracits and Dasits related to calcalcalen were in volcanic areas with economical Kansares of metal elements such as Mn, Cu, V, Ti, Co, Cr along witch Alteramafic and mafic rocks. Since a big part of Ophiolite is composed of these rocks making Kansares of these elements in these Ophiolites is not avoidable the accomplishment of focal analysis of minerals by means of Microprobe started. This is because such Tasks can help in recognizing minerals compositional Zoning, Frequency of secondary elements which are rare as well as determining the kind of environment.
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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 | 0.000 | 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".