Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Mortgage refinancing is a complex real-life problem involving a sequence of decisions, each of which requires a trade-off between the transaction cost associated with refinancing and the benefit of obtaining a lower interest rate. The authors present a simplified mathematical model of this problem. Within this model, they seek to determine the best possible competitive ratio achievable by an on-line mortgage refinancing policy. The main results are the following: under the assumption that the initial mortgage is obtained with an interest rate M and that future interest rates cannot decrease below m>or=0, they show a lower bound r= Omega (/sup 1nM///sub (m+1)lnlnM/) on the competitive ratio of any mortgage refinancing policy. Then they give an on-line policy that is optimal in some special cases, including the cases m=0 and M<(1+/sup 2///sub m+1/)(m+2). For other values of m, M the on-line policy is proven to be r/sup 2/-competitive.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it