Bibliographic record
Abstract
The share of unconventional fuel sources (oil sands, shale gas etc.) in the oil market is growing in terms of production and usage.For the past 40 years, the United States has been importing petroleum products derived from Canadian oil sands.Nevertheless, in recent times, owing to the increased demand, the proposal of pipeline expansions along with two major spills (Kalamazoo, 2010 and Mayflower, 2013), these sources are again in the limelight.Oil sands yield bitumen which is the heaviest form of crude oil.For transportation purposes, bitumen is altered either by diluting or upgrading.When bitumen is blended with lighter hydrocarbons, diluted bitumen or dilbit is produced.Its physical and chemical properties are quite different from those of conventional oils.Limited and inconsistent literature is available on the biodegradability of dilbit, thus the main aim of this research was to evaluate different aspects of its biodegradation to fill this v Last but not the least, I express my humblest gratitude towards my family, friends and wellwishers for believing in me every single day.This work is dedicated to all the people who touched my life in one way or the other.vi Patience does not mean to passively endure.It means to be farsighted enough to trust the end result of a process.It means to look at the thorn and see the rose, to look at the night and see the dawn.The lovers of God never run out of patience, for they know that time is needed for the crescent moon to become full.
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 | 0.000 | 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 | 0.010 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".