Archean Tonalite-Trondhjemite-Granodiorite Suites Bearing Orthopyroxene Mineral of the Bounta Region and Their Sulfide and Oxide Iron Mineralization (Western Ivory Coast)
Bibliographic record
Abstract
The mining company Sama Nickel-CI during its exploration activities in the Bounta area (Biankouma department, western Côte d’Ivoire) identified rocks with magmatic and metamorphic characteristics of felsic to mafic compositions mineralized in sulfide but unknown in the region. Thus, the petrographic characterization of these rocks of Bounta as well as the sulfides they contain, was carried out from macroscopic to microscopic observations. Petrographic analysis of these rocks has shown that these rocks are trondhjemite, tonalite and granodiorite (TTG) suites, composed of the main minerals (quartz, plagioclase, orthopyroxene, amphibole, feldspar) and accessory minerals (biotite, garnet) with magmatic textures supplanted by metamorphic textures. They were set up by fractional crystallization and would be products of Archean crustal anatexis formed from the partial melting of basaltic protocrust during the Liberian orogeny. The Bounta’s series of trondhjemite, tonalite and granodiorite (TTG) contain speckles of sulfide (pyrite and pyrrhotite) which are disseminated in places and are relatively abundant, as well as iron oxides (magnetite) which are of low proportion.
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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) | 0.002 | 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".