Evaluation of oil sands resources A case study in the Athabasca Oil Sands, NE Alberta, Canada
Bibliographic record
Abstract
油沙在加拿大油和煤气的资源是最重要的。油沙的分发和评估因此在加拿大为风险投资形成一个批评基础。油沙资源的分发被水库异质严重地控制。确定的建模通常被用来在水库解决异质问题，但是很少过去常评估烃资源。在这份报纸，一张岩相基于确定的方法被采用在北阿伯塔为一个采矿工程的部分估计油沙资源。在学习区域的岩相能被分类进水库，这褪色的核心描述数据，地区性的地质学和地球物理的木头的空水和油浸透数据和学习揭示的迪安的统计分析，可能的水库褪色，非水库褪色。指示物 krigging 方法被用来基于分类造一个 3D 岩相模型沉积褪色并且平常的 krigging 方法被用于 petrophysical 性质建模。结果证明 krigging 评价是在在阿伯塔当模特儿的油沙资源的好选择之一。当模特儿基于可以有的岩相等级有利在上等级唯一建模基于。
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".