Bibliographic record
Abstract
Abstract This study selected the five typical Wells area as the research object in the town of Li Qu, Baota district, Shaanxi province. The petroleum hydrocarbon content of soil samples collected from 0~10m, 10~30m and 30~50m outside the oil well center was studied and analyzed, the results showed that the well surrounding soil samples of petroleum hydrocarbon concentration in the range of 73-1090 mg/kg, much higher than that of petroleum contaminated soil (500 mg/kg), and petroleum hydrocarbon concentration are radiation pollution radius distribution. According to the standards of oil contaminated soil remediation stipulated by Oklahoma (500mg/kg) and Canada (450mg/kg), the soil around the oil contaminated soil remediation needs to be remediation in different years of production. In addition, due to the specific degradation effect of indigenous microorganisms on petroleum hydrocarbons in the soil, the soil pollution level of the oil Wells in operation is higher than that of the abandoned ones. The soil oil pollution in 2 # and 5 # oil wells is about the critical value in the soil remediation standard.
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 | 0.000 | 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) | 0.001 | 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".