James E. Rohr Chairman and Chief Executive Officer Dear Shareholders,
Bibliographic record
Abstract
Building a great company is an ongoing process, and each year we set our goals to serve our shareholders, while also meeting the needs of customers, employees and communities. We believe 2009 was a very good year for all of our constituencies, despite the difficult environment for the financial services industry. PNC begins 2010 determined to capitalize on our expanded franchise to enhance revenue and gain new clients. In 2009 our business model delivered full-year revenue of $16.2 billion from diverse sources. We managed expenses effectively, and we continued to add customers. The acquisition of National City significantly expanded our franchise, and our integration efforts are ahead of schedule. We worked to transition our balance sheet throughout the year, and ended 2009 with more transaction deposits, greater loan loss reserves and higher capital ratios. As a result, we posted full year net income of $2.4 billion, or $4.36 per diluted common share. While I have said this before, I think it bears repeating: other than the fourth quarter of 2008 when we took a substantial provision for credit losses due to the National City acquisition, PNC has been profitable in every quarter since the economic downturn began in the middle of 2007. In February of this year we redeemed $7.6 billion of preferred stock issued under the government’s
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.067 | 0.047 |
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".