Troubled Asset Relief Program: Third Quarter 2010 Update of Government Assistance Provided to AIG and Description of Recent Execution of Recapitalization Plan
Bibliographic record
Abstract
A letter report issued by the Government Accountability Office with an abstract that begins "Assistance provided by the Department of the Treasury (Treasury), under the Troubled Asset Relief Program (TARP), and the Board of Governors of the Federal Reserve System (Federal Reserve) to American International Group, Inc. (AIG) represents one of the federal government's largest investments in a private-sector institution since the financial crisis began in 2008. AIG is a holding company that, through its subsidiaries, engaged in a broad range of insurance and insurancerelated activities in the United States and abroad. As part of GAO's statutory oversight of TARP, this report updates a set of indicators GAO last reported in April 2010. Specifically, GAO discusses (1) trends in AIG's financial condition, (2) trends in the unwinding of AIG Financial Products (AIGFP) and the financial condition of AIG's insurance companies, and (3) the status of the government's exposure to AIG. To update the indicators, GAO primarily used available public filings as of September 30, 2010, and more current publicly available information; reviewed rating agencies' reports; and identified critical activities and discussed them with officials from Treasury, the Federal Reserve, and AIG. Treasury, the Federal Reserve, and AIG provided technical comments that GAO incorporated, as appropriate.."
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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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.010 |
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".