Strong Balance Sheet and Liquidity Position Petro-Canada Well for 2009
Bibliographic record
Abstract
• Achieved 2008 priorities by delivering production at the high end of guidance and progressing major projects • Replaced 149 % of proved plus probable reserves over five years • Ended 2008 with strong liquidity and financial flexibility as well as low debt levels Calgary – Petro-Canada announced today fourth quarter operating earnings of $518 million ($1.07/share), up slightly from $513 million ($1.06/share) in the fourth quarter of 2007. Fourth quarter 2008 cash flow from operating activities before changes in non-cash working capital was $531 million ($1.10/share), up significantly from $17 million ($0.04/share) in the same quarter of last year. Net losses were $691 million ($(1.43)/share) in the fourth quarter of 2008, compared with net earnings of $522 million ($1.08/share) in the same quarter of 2007. In 2008, operating earnings were $3,857 million ($7.97/share), up 53 % compared with $2,528 million ($5.17/share) in 2007. Cash flow from operating activities before changes in non-cash working capital for 2008 was $6,478 million ($13.38/share), up 72 % from $3,762 million ($7.69/share) in the previous year. Net earnings for the full year in 2008 were $3,134 million ($6.47/share), up 15 % compared with $2,733 million
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.071 | 0.018 |
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".