Mitsubishi UFJ Financial Group Summary of 3rd Quarter results of
Bibliographic record
Abstract
January 31, 2008This document contains forward-looking statements in regard to forecasts, targets and plans of Mitsubishi UFJ Financial Group, Inc. (“MUFG”) and its group companies (collectively, “the group”). These forward-looking statements are based on information currently available to the group and are stated here on the basis of the outlook at the time that this document was produced. In addition, in producing these statements certain assumptions (premises) have been utilized. These statements and assumptions (premises) are subjective and may prove to be incorrect and may not be realized in the future. Underlying such circumstances are a large number of risks and uncertainties. Please see other disclosure and public filings made or will be made by MUFG and the other companies comprising the group, including the latest kessantanshin, financial reports, Japanese securities reports and annual reports, for additional information regarding such risks and uncertainties. The group has no obligation or intent to update any forwardlooking statements contained in this document. In addition, information on companies and other entities outside the group that is recorded in this document has been obtained from publicly available information and other sources. The accuracy and appropriateness of that information has not been verified by the group and cannot be guaranteed. The financial information used in this document was prepared in accordance with accounting standards generally accepted in Japan, or Japanese GAAP. 1
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.142 | 0.116 |
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".