Identification of Acid Mine Drainage Microorganisms from a Coal Mine in South Africa
Bibliographic record
Abstract
Acid mine drainage (AMD) generated from mining processes is an on-going environmental concern. This study aimed to identify microorganisms (MOs) from a coal mine water source to determine organism diversity for its use as a bioremediation method of AMD contaminated sources. For the purpose of this study, a culture-dependent sample, previously collected from an open-mine-water-pit was used to assess the microbial community by 18S rRNA gene amplification and BLAST analysis. The analysis revealed the presence of 94 MOs, with 3 dominant MOs namely, Cercozoan; an uncultured bacterium and Chorella vulgaris. The use of this culture is not promising as the presence of Cercozoan, a protist type body will target other species for its own survival, hence inhibiting any positive effect the algae or bacteria may have on bioremediation potential of harmful AMD elements.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".