Bibliographic record
Abstract
The Arctic is featured not only by vast area,poor natural conditions and territorial disputes,but also by its rich oil and gas resources.Petroliferous basins in Arctic are mainly passive continental margin basins.Jurassic source rocks are the most widely developed among others,while the Jurassic sandstone reservoirs are also widely developed as high quality reservoir in the area.The Cretaceous shale is the regional cap rock.According to the evaluation based on play cored assessment,11basins are assessed in Arctic,and the resources of the rest 13basins refer to the USGS assessments.According to the assessment results,the undiscovered oil resources are 14.9 billion tons,including 4.0 billion tons gas condensate,and the undiscovered gas resources are 46trillion cubic metres.The Yenisey-Khatanga basin holds the largest undiscovered oil and gas resources,then East Barents Sea basin,South Kara-Yamal Sub-basin,Mackenzie Delta and East Greenland basin.In Arctic,the undiscovered oil resources are mainly distributed in Russia and USA,and the undiscovered gas resources are mainly distributed in Russia.In recent years,the East Barents Platform is the most active area in the Arctic oil and gas exploration.
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 | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".