MétaCan
Menu
Back to cohort
Record W3128960510 · doi:10.5897/ajest2020.2945

Impact of oil installations on groundwater resources in Bongor Basin, Republic of Chad

2021· article· en· W3128960510 on OpenAlexaboutno aff
Koukouare Prosper SAMBA, Mboudou Guillaume Ewodo, Ngarbaroum DORIM, A. A. Haroun, Nathan Koukouare HOULOULOU, R. Danwe

Bibliographic record

VenueAfrican Journal of Environmental Science and Technology · 2021
Typearticle
Languageen
FieldEngineering
TopicExtraction and Separation Processes
Canadian institutionsnot available
Fundersnot available
KeywordsPollutantGroundwaterEnvironmental chemistryEnvironmental scienceStructural basinSoil testGroundwater resourcesCadmiumSoil waterChemistryGeologyAquiferSoil science

Abstract

fetched live from OpenAlex

This study examines concentration of pollutants that can contaminate soil, surface water and groundwater in the Bongor Basin. The analysis of thirty soil samples from six oil sites: Koudalwa, Ronier, Ndoubadana, Narenang, Croisement Baobab and Croisement Ridina was carried out using standard laboratory testing methods of chemical elements and pollutants. Results reveal that Nickel has a maximum concentration above the acceptable threshold of INERIS standard of France (2-60 mg/kg). Copper present concentrations above the Cameroonian standard of SONARA site (10 - 30 mg/kg), Cadmium has a content above the INERIS standard of France (0.2-0.7 mg/Kg) and Cameroonian standard of SONARA site (1 - 2 mg/kg). Phenol was present in all samples with very high concentration values compared to Canadian class A and B standards (0.1-1 mg/kg) and Cameroonian standard of SONARA site (0.2-1 mg/kg). Keywords: Oil installations, pollutants, groundwater resources, basin, Bongor.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.054
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.225
Teacher spread0.219 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueAfrican Journal of Environmental Science and TechnologySame topicExtraction and Separation ProcessesFrench-language works237,207