JPMorgan's 3Q earnings fall 8 percent, but beat estimates
Bibliographic record
Abstract
JPMorgan Chase's third-quarter profits fell 8 percent from a year earlier, as higher revenue in the bank's retail and investment banking divisions was offset by low interest rates. JPMorgan Chase says it's third-quarter profits fell 8-percent from a year earlier, but the results still beat Wall Street's estimates.The largest U.S. bank by assets earned just under $6.3 billion...compared to $6.80 billion in the same period a year ago.Higher revenue in its retail and investment banking divisions was offset by low interest rates.As it has been for several quarters now, JPMorgan remained under pressure from the Federal Reserve's decision to keep interest rates at near record low levels.Banks are directly impacted by low interest rates because it inhibits their ability to charge more in interest when their customers borrow.In a statement, the bank's CEO said we delivered strong results this quarter with each of our businesses performing well.""
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.043 | 0.060 |
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; both teacher heads agree on what is shown here.
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".