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Record W2186968475 · doi:10.5539/enrr.v5n4p30

Survey of Solid Minerals in Rocks of Ditera and Waltadi, Song, Nigeria

2015· article· en· W2186968475 on OpenAlexvenueno aff
S.A. Osemeahon, O. N. Maitera, Benson Aliyu

Bibliographic record

VenueEnvironment and Natural Resources Research · 2015
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsQuartzCovelliteAlbiteGeologyMineralogyRutileMineralGeochemistryMaterials scienceMetallurgyChalcopyrite

Abstract

fetched live from OpenAlex

<p class="1Body">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.</p>

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.262

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.052
GPT teacher head0.306
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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