Isolation and Characterization of Hydrocarbon Degrading Bacteria from Petrol Contaminated Soil
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Hydrocarbon degrading bacteria were isolated from the petrol contaminated soil of Karachi to determine their biodegradation capabilities of aromatic hydrocarbons such as xylene, phenanthrene, naphthalene, biphenyl and anthracene. Twelve bacterial strains were isolated by culture enrichment technique in Bushnell Hass medium in the presence of petrol. Hydrocarbon degradation capabilities of bacterial strains were assessed by means of enumeration using spread-plate technique. Current study revealed that all of the twelve isolated bacterial strains were able to degrade aromatic hydrocarbons, particularly Pseudomonas sp. SA044, degraded all the tested five aromatic hydrocarbons while Burkholderia sp., Ralstonia sp., Stenotrophomonas sp., Micrococcus sp. and Staphylococcus sp. degraded three or more aromatic hydrocarbons.Naphthalene and phenanthrene were the most degraded aromatic hydrocarbons.
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.
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 | 0.001 | 0.000 |
| 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 | 0.000 | 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 it