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
The aim of our study was to determine whether the SLEDAI-2K calculated using a timeframe of 30 days prior to a visit for clinical and laboratory variables was equivalent to the prescribed 10-day period. One hundred forty nine consecutive lupus patients seen over 9 weeks at the University of Toronto Lupus Clinic enrolled. The SLEDAI-2K score was completed twice, for a 10- and 30-day window. Forty patients had a classic SLEDAI-2K activity score of 0 and 109 patients had varying levels of disease activity ranging from 1 to 31. In all but one patient, there was agreement between the SLEDAI-2K 10 and 30 days. Thus SLEDAI-2K 30 days is similar to SLEDAI-2K 10 days, both in patients in remission and with a spectrum of disease activity levels. SLEDAI-2K 30 days may now be used to describe disease activity over the previous 30 days.
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 | 0.000 | 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