The Screening of Biopolymer Bacteria in Porous MediaThe Screening of Biopolymer Bacteria in Porous Media
Bibliographic record
Abstract
MEOR has advantages of less polluting environment and low cost, which can be extended to the volume of the biopolymer produced by metabolism, and it is one of the main mechanisms of microbial enhanced oil recovery. The fermentation, the study of biopolymers produced growth and metabolism of bacteria rules; after using the orthogonal experimental method and optimized the optimum culture conditions, through the indoor driving oil experimental evaluation of biological polymer flooding effect. The optimal bio polymer producing strain DJ was screened out. The strain had the ability to produce polymer and the product quantity was high. The effect of the biopolymer flooding was good. DJ strain optimum culture time for 72 hours, the optimal fermentation culture conditions: fermentation temperature 35 degrees Celsius; shaking speed r/min; 10 mL of inoculum; fermentation culture medium formula: glucose 40 g/L, 20 g/L of corn steep liquor, corn starch 2 G/L, NaNO3 3 g/L, KH2PO4 0.5 g/L, Na2HPO4·12H2O 1 g/L, MgSO4·7H2O 0.5 g/L, CaCl2 0.05 g/L, pH 7.2.
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 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 | 0.001 |
| 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 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".