Survey of Solid Minerals in Rocks of Ditera and Waltadi, Song, Nigeria
Bibliographic record
Abstract
Rock samples from seven (7) locations (with mountains ranging between 1000-1500m above sea level) of Ditera (Kuba, Laba, Bwara and Batum) and Waltadi (Gbang, Gbang Kolora, & Tewozo) Districts of Song Local Government Area, Adamawa State, Nigeria were investigated for solid minerals and metallic oxides. X-ray diffraction spectrophotometer used in the identification of the solid minerals revealed the presence quartz, albite and phlogopite in Kuba, quartz, albite, rutile and fluorannite in Laba, marshite, covellite, otavite, quartz and calcite in Bwara, quartz, oyelite, covellite and tenorite in Batum, barite alone in Gbang, quartz, covellite, ulvospinel, montmorillonite, rutile, and marshite in Gbang Kolora, and found in Tewozo were; quartz covellite, albite and marshite. Of the thirteen different minerals identified in these locations, quartz is the most dominantly present. Further investigation in which the rock samples were analyzed for their constituent major and minor oxides using X-ray fluorescence spectrophotometer also revealed the presence of some oxides which both qualitatively and quantitatively confirmed the presence of the solid minerals in the rock samples analyzed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".