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
Crude oil is one of the most important types of fossil fuel in the world. It is an economically important commodity that is massively used in many industrial activities. The poor quality of crude oil is related to high sulfur content, which translates to lower profit margins and negatively impacts air quality standards. Polyaromatic sulfur heterocycles (PASHs) that exist in crude oil requires an efficient reduction method to achieve significant desulfurization levels. Recently, biodesulfurization (BDS) is gaining greater attention attributed to its environmentally benign bioprocess; possible benefits of BDS include lower capital and processing costs. Studies have reported that BDS is urgently needed for desulfurization of recalcitrant organic sulfur relative to traditional approach, hydrodesulfurization (HDS). The establishment of commercial scale biorefining technology relies on major advancement with respect to less expensive and sufficient production of highly active and stable biocatalysts that can be adapted to intense conditions encountered in petroleum refineries. In this paper, a review on BDS processes for removing recalcitrant thoiphenic components from sour crude oil is conducted, covering the aim of most studies concerning desulfurizing bacteria, which enables a deep desulfurization of organosulfur compounds by 4S pathway, maintaining the caloric value of fuel.
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 | 0.000 | 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