17th World Petroleum Congress Preview, August 2002 JCPT
Bibliographic record
Abstract
The JCPTand the Canadian Association for the WPC agreed that itwould be a timely and valued service to readers and delegates to the 17th WorldPetroleum Congress to publish a series of articles reviewing several keypetroleum technologies receiving attention in Canada. Distinguished authoritieson the technologies agreed to contribute short summary articles on Canadianresearch and field experience in specific areas. These articles are included inthis issue: The Evolution of Imperial Oil's Cold Lake Development by Raj Patel and BruceRauch Innovative Steam Injection Techniques Overcome Adverse Reservoir Conditionsby S.M. Farouq Ali Air Injection for Oil Recovery by Gord Moore, Raj Mehta, and MatthewUrsenbach Suncor's Path to Growth - Oil Sands Projects and Technology by K.C.Yeung Downhole Oil/Water Separation's Canadian Roots by Bruce Peachey and ToddZahacy Canada's Recovered Sulphur - In the World Class by Jim Hyne VAPEX - A Unique Canadian Technology by Swapan Das Canada - World Leader in Hydrocarbon Miscible Flooding by Nick Mungan Bitumen Recovery From Athabasca Oil Sands by Jacob Masliyah Computalog's LWD System Designed for Deepwater Drilling Environments byKevin Brady
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.266 | 0.149 |
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".